This page contains detailed information on all processors offered by Document AI. You can see a list of all processors by solution type.
All Document AI processors adhere to the Data Processing and Security Terms .
Refer to the Managing processor versions documentation for more details. Also, specific processor limits apply in addition to overall product quotas and limits .
Digitize text
Enterprise Document OCR (Optical Character Recognition)
Identify and extract text in different types of documents.
This processor allows you to identify and extract text, including handwritten text, from documents in more than 200 languages. The processor also uses machine learning to perform a quality assessment of a document based on the readability of its content.
OCR_PROCESSOR
Full list of languages
| Language Name | BCP 47 Tag | Script | Handwriting supported |
|---|---|---|---|
|
Afrikaans
|
af
|
Latn
|
|
|
Albanian
|
sq
|
Latn
|
|
|
Arabic
|
ar
|
Arab
|
|
|
Armenian
|
hy
|
Armn
|
|
|
Belarusian
|
be
|
Cyrl
|
|
|
Bangla
|
bn
|
Beng
|
|
|
Bengali
|
bn
|
Beng
|
|
|
Bulgarian
|
bg
|
Cyrl
|
|
|
Catalan
|
ca
|
Latn
|
|
|
Chinese
|
zh
|
Hani
|
|
|
Croatian
|
hr
|
Latn
|
|
|
Czech
|
cs
|
Latn
|
|
|
Danish
|
da
|
Latn
|
|
|
Dutch
|
nl
|
Latn
|
|
|
English
|
en
|
Latn
|
|
|
Estonian
|
et
|
Latn
|
|
|
Filipino
|
fil
|
Latn
|
|
|
Finnish
|
fi
|
Latn
|
|
|
French
|
fr
|
Latn
|
|
|
German
|
de
|
Latn
|
|
|
Greek
|
el
|
Grek
|
|
|
Gujarati
|
gu
|
Gujr
|
|
|
Hebrew
|
iw
|
Hebr
|
|
|
Hindi
|
hi
|
Deva
|
|
|
Hungarian
|
hu
|
Latn
|
|
|
Icelandic
|
is
|
Latn
|
|
|
Indonesian
|
id
|
Latn
|
|
|
Italian
|
it
|
Latn
|
|
|
Japanese
|
ja
|
Jpan
|
|
|
Kannada
|
kn
|
Knda
|
|
|
Khmer
|
km
|
Khmr
|
|
|
Korean
|
ko
|
Kore
|
|
|
Lao
|
lo
|
Laoo
|
|
|
Latvian
|
lv
|
Latn
|
|
|
Lithuanian
|
lt
|
Latn
|
|
|
Macedonian
|
mk
|
Cyrl
|
|
|
Malay
|
ms
|
Latn
|
|
|
Malayalam
|
ml
|
Mlym
|
|
|
Marathi
|
mr
|
Deva
|
|
|
Nepali
|
ne
|
Deva
|
|
|
Norwegian
|
no
|
Latn
|
|
|
Persian
|
fa
|
Arab
|
|
|
Polish
|
pl
|
Latn
|
|
|
Portuguese (Portugal & Brazil)
|
pt
|
Latn
|
|
|
Punjabi
|
pa
|
Guru
|
|
|
Romanian
|
ro
|
Latn
|
|
|
Russian
|
ru
|
Cyrl
|
|
|
Serbian
|
sr
|
Cyrl
|
|
|
Slovak
|
sk
|
Latn
|
|
|
Slovenian
|
sl
|
Latn
|
|
|
Spanish
|
es
|
Latn
|
|
|
Swedish
|
sv
|
Latn
|
|
|
Tagalog
|
tl
|
Latn
|
|
|
Tamil
|
ta
|
Taml
|
|
|
Telugu
|
te
|
Telu
|
|
|
Thai
|
th
|
Thai
|
|
|
Turkish
|
tr
|
Latn
|
|
|
Ukrainian
|
uk
|
Cyrl
|
|
|
Vietnamese
|
vi
|
Latn
|
|
|
Yiddish
|
yi
|
Hebr
|
| Version ID | Release Channel | Description |
|---|---|---|
pretrained-ocr-v1.2-2022-11-10
|
Stable | Frozen model version of v1.0: Model files, configurations, and binaries of a version snapshot frozen in a container image for up to 18 months. |
pretrained-ocr-v2.0-2023-06-02
|
Stable | Production-ready model specialized for document use cases. Includes access to all OCR add-ons. |
pretrained-ocr-v2.1-2024-08-07
|
Stable | The main areas of improvement for v2.1 are: better printed text recognition, more precise checkbox detection and more accurate reading order. |
pretrained-ocr-v2.1.1-2025-01-31
|
Release candidate | v2.1.1 is similar to V2.1, and is available in all regions except: US
, EU
, and asia-southeast1
. |
For more information, see Managing processor versions.
| Maximum pages (online/synchronous requests): | 15 |
| Maximum pages (batch/offline/asynchronous requests): | 500 |
|---|---|
| Maximum pages (imageless mode online/synchronous requests): | 30 |
-
asia-south1 -
asia-southeast1 -
australia-southeast1 -
eu -
europe-west2 -
europe-west3 -
northamerica-northeast1 -
us
Extract entities from documents
Refer to Sample datasets for sample labeled and unlabeled datasets to use for training.
Custom Extractor
Extract fields from documents using generative AI or custom models; fine-tune models to accurately extract data from your documents.
CUSTOM_EXTRACTION_PROCESSOR
-
If using generative AI for extraction, then:
- Only the English language is officially supported.
- Region availability is in the
US,EU,northamerica-northeast1andasia-southeast1.
Full list of languages
| Language Name | BCP 47 Tag | Script | Handwriting supported |
|---|---|---|---|
|
Afrikaans
|
af
|
Latn
|
|
|
Arabic
|
ar
|
Arab
|
|
|
Azerbaijani
|
az
|
Latn
|
|
|
Azerbaijani (Cyrillic)
|
az-Cyrl
|
Cyrl
|
|
|
Belarusian
|
be
|
Cyrl
|
|
|
Bulgarian
|
bg
|
Cyrl
|
|
|
Bosnian
|
bs
|
Latn
|
|
|
Catalan
|
ca
|
Latn
|
|
|
Cebuano
|
ceb
|
Latn
|
|
|
Czech
|
cs
|
Latn
|
|
|
Welsh
|
cy
|
Latn
|
|
|
Danish
|
da
|
Latn
|
|
|
German
|
de
|
Latn
|
|
|
Greek
|
el
|
Grek
|
|
|
English
|
en
|
Latn
|
|
|
Esperanto
|
eo
|
Latn
|
|
|
Spanish
|
es
|
Latn
|
|
|
Estonian
|
et
|
Latn
|
|
|
Basque
|
eu
|
Latn
|
|
|
Persian
|
fa
|
Arab
|
|
|
Finnish
|
fi
|
Latn
|
|
|
Filipino
|
fil
|
Latn
|
|
|
French
|
fr
|
Latn
|
|
|
Irish
|
ga
|
Latn
|
|
|
Galician
|
gl
|
Latn
|
|
|
Hindi
|
hi
|
Deva
|
|
|
Croatian
|
hr
|
Latn
|
|
|
Haitian Creole
|
ht
|
Latn
|
|
|
Hungarian
|
hu
|
Latn
|
|
|
Indonesian
|
id
|
Latn
|
|
|
Icelandic
|
is
|
Latn
|
|
|
Italian
|
it
|
Latn
|
|
|
Hebrew
|
iw
|
Hebr
|
|
|
Japanese
|
ja
|
Jpan
|
|
|
Javanese
|
jv
|
Latn
|
|
|
Kazakh
|
kk
|
Cyrl
|
|
|
Korean
|
ko
|
Kore
|
|
|
Kyrgyz
|
ky
|
Cyrl
|
|
|
Latin
|
la
|
Latn
|
|
|
Lithuanian
|
lt
|
Latn
|
|
|
Latvian
|
lv
|
Latn
|
|
|
Macedonian
|
mk
|
Cyrl
|
|
|
Mongolian
|
mn
|
Cyrl
|
|
|
Marathi
|
mr
|
Deva
|
|
|
Malay
|
ms
|
Latn
|
|
|
Maltese
|
mt
|
Latn
|
|
|
Nepali
|
ne
|
Deva
|
|
|
Dutch
|
nl
|
Latn
|
|
|
Norwegian
|
no
|
Latn
|
|
|
Polish
|
pl
|
Latn
|
|
|
Pashto
|
ps
|
Arab
|
|
|
Portuguese (Portugal & Brazil)
|
pt
|
Latn
|
|
|
Romanian
|
ro
|
Latn
|
|
|
Russian
|
ru
|
Cyrl
|
|
|
Russian (Petrine Orthography)
|
ru-PETR1708
|
Cyrl
|
|
|
Sanskrit
|
sa
|
Deva
|
|
|
Slovak
|
sk
|
Latn
|
|
|
Slovenian
|
sl
|
Latn
|
|
|
Albanian
|
sq
|
Latn
|
|
|
Serbian
|
sr
|
Cyrl
|
|
|
Swedish
|
sv
|
Latn
|
|
|
Swahili
|
sw
|
Latn
|
|
|
Tagalog
|
tl
|
Latn
|
|
|
Turkish
|
tr
|
Latn
|
|
|
Ukrainian
|
uk
|
Cyrl
|
|
|
Urdu
|
ur
|
Arab
|
|
|
Uzbek
|
uz
|
Latn
|
|
|
Uzbek (Cyrillic)
|
uz-Cyrl
|
Cyrl
|
|
|
Vietnamese
|
vi
|
Latn
|
|
|
Yiddish
|
yi
|
Hebr
|
|
|
Chinese simplified
|
zh-Hans
|
Hani
|
|
|
Chinese traditional
|
zh-Hant
|
Hani
|
|
|
Zulu
|
zu
|
Latn
|
| Version ID | Release Channel | Description |
|---|---|---|
pretrained-foundation-model-v1.4-2025-02-05
|
Stable | GA model powered by the Gemini 2.0 Flash LLM. Also includes advanced OCR features such as checkbox detection. |
pretrained-foundation-model-v1.5-2025-05-05
|
Stable | Production-ready candidate powered by Gemini 2.5 Flash LLM. Recommended for those who want to experiment with newer models. |
pretrained-foundation-model-v1.5-pro-2025-06-20
|
Stable | Production-ready model powered by the Gemini 2.5 Pro LLM. Supports a quota of up to 30 pages per minute for online process requests. This model has improved quality compared to v1.5, and may have a higher latency. |
For more information, see Managing processor versions.
| Maximum pages (online/synchronous requests): | 15 |
| Maximum pages (batch/offline/asynchronous requests): | 200 |
|---|---|
| Maximum pages (imageless mode online/synchronous requests): | 30 |
You can find more information in the Enrichment & normalization , and Create dataset pages.
Full list of normalized data types
-
dateTime asSTRING -
currency asSTRING -
money asgoogle.type.Money -
number asFLOATorINTEGER
-
asia-south1 -
asia-southeast1 -
australia-southeast1 -
eu -
europe-west2 -
europe-west3 -
northamerica-northeast1 -
us
Form Parser
Extract general key-value pairs (entity and checkbox), tables, and generic entities from documents in addition to OCR text.
This processor applies advanced machine learning technologies to extract key-value pairs, checkboxes, and tables from documents more than 200 languages. This processor also leverages deep learning models to extract 11 generic entities that are common in various document types.
FORM_PARSER_PROCESSOR
Full list of languages
| Language Name | BCP 47 Tag | Script | Handwriting supported |
|---|---|---|---|
|
Afrikaans
|
af
|
Latn
|
|
|
Albanian
|
sq
|
Latn
|
|
|
Arabic
|
ar
|
Arab
|
|
|
Belarusian
|
be
|
Cyrl
|
|
|
Catalan
|
ca
|
Latn
|
|
|
Chinese
|
zh
|
Hani
|
|
|
Croatian
|
hr
|
Latn
|
|
|
Czech
|
cs
|
Latn
|
|
|
Danish
|
da
|
Latn
|
|
|
Dutch
|
nl
|
Latn
|
|
|
English
|
en
|
Latn
|
|
|
Estonian
|
et
|
Latn
|
|
|
Filipino
|
fil
|
Latn
|
|
|
Finnish
|
fi
|
Latn
|
|
|
French
|
fr
|
Latn
|
|
|
German
|
de
|
Latn
|
|
|
Hebrew
|
iw
|
Hebr
|
|
|
Hindi
|
hi
|
Deva
|
|
|
Hungarian
|
hu
|
Latn
|
|
|
Icelandic
|
is
|
Latn
|
|
|
Indonesian
|
id
|
Latn
|
|
|
Italian
|
it
|
Latn
|
|
|
Japanese
|
ja
|
Jpan
|
|
|
Korean
|
ko
|
Kore
|
|
|
Latvian
|
lv
|
Latn
|
|
|
Lithuanian
|
lt
|
Latn
|
|
|
Macedonian
|
mk
|
Cyrl
|
|
|
Malay
|
ms
|
Latn
|
|
|
Marathi
|
mr
|
Deva
|
|
|
Nepali
|
ne
|
Deva
|
|
|
Norwegian
|
no
|
Latn
|
|
|
Persian
|
fa
|
Arab
|
|
|
Polish
|
pl
|
Latn
|
|
|
Portuguese (Portugal & Brazil)
|
pt
|
Latn
|
|
|
Romanian
|
ro
|
Latn
|
|
|
Russian
|
ru
|
Cyrl
|
|
|
Serbian
|
sr
|
Cyrl
|
|
|
Slovak
|
sk
|
Latn
|
|
|
Slovenian
|
sl
|
Latn
|
|
|
Spanish
|
es
|
Latn
|
|
|
Swedish
|
sv
|
Latn
|
|
|
Tagalog
|
tl
|
Latn
|
|
|
Turkish
|
tr
|
Latn
|
|
|
Ukrainian
|
uk
|
Cyrl
|
|
|
Vietnamese
|
vi
|
Latn
|
|
|
Yiddish
|
yi
|
Hebr
|
pretrained-form-parser-v1.0-2020-09-23
None
pretrained-form-parser-v2.0-2022-11-10
Show fields
-
email -
phone -
url -
date_time -
address -
person -
organization -
quantity -
price -
id -
page_number
pretrained-form-parser-v2.1-2023-06-26
None
For more information, see Managing processor versions.
| Maximum pages (online/synchronous requests): | 15 |
| Maximum pages (batch/offline/asynchronous requests): | 100 |
|---|---|
| Maximum pages (imageless mode online/synchronous requests): | 30 |
-
asia-south1 -
asia-southeast1 -
australia-southeast1 -
eu -
europe-west2 -
europe-west3 -
northamerica-northeast1 -
us
Layout Parser
Extracts document content elements (text, tables, and lists) and creates context-aware chunks.
Layout Parser extracts document content elements like text, tables, and lists, and creates context-aware chunks that facilitate information retrieval in generative AI and discovery applications.
LAYOUT_PARSER_PROCESSOR
- This parser supports PDF, HTML, DOCX, PPTX, and XLSX/XLSM files.
Full list of languages
| Language Name | BCP 47 Tag | Script | Handwriting supported |
|---|---|---|---|
|
Afrikaans
|
af
|
Latn
|
|
|
Albanian
|
sq
|
Latn
|
|
|
Arabic
|
ar
|
Arab
|
|
|
Armenian
|
hy
|
Armn
|
|
|
Belarusian
|
be
|
Cyrl
|
|
|
Bangla
|
bn
|
Beng
|
|
|
Bengali
|
bn
|
Beng
|
|
|
Bulgarian
|
bg
|
Cyrl
|
|
|
Catalan
|
ca
|
Latn
|
|
|
Chinese
|
zh
|
Hani
|
|
|
Croatian
|
hr
|
Latn
|
|
|
Czech
|
cs
|
Latn
|
|
|
Danish
|
da
|
Latn
|
|
|
Dutch
|
nl
|
Latn
|
|
|
English
|
en
|
Latn
|
|
|
Estonian
|
et
|
Latn
|
|
|
Filipino
|
fil
|
Latn
|
|
|
Finnish
|
fi
|
Latn
|
|
|
French
|
fr
|
Latn
|
|
|
German
|
de
|
Latn
|
|
|
Greek
|
el
|
Grek
|
|
|
Gujarati
|
gu
|
Gujr
|
|
|
Hebrew
|
iw
|
Hebr
|
|
|
Hindi
|
hi
|
Deva
|
|
|
Hungarian
|
hu
|
Latn
|
|
|
Icelandic
|
is
|
Latn
|
|
|
Indonesian
|
id
|
Latn
|
|
|
Italian
|
it
|
Latn
|
|
|
Japanese
|
ja
|
Jpan
|
|
|
Kannada
|
kn
|
Knda
|
|
|
Khmer
|
km
|
Khmr
|
|
|
Korean
|
ko
|
Kore
|
|
|
Lao
|
lo
|
Laoo
|
|
|
Latvian
|
lv
|
Latn
|
|
|
Lithuanian
|
lt
|
Latn
|
|
|
Macedonian
|
mk
|
Cyrl
|
|
|
Malay
|
ms
|
Latn
|
|
|
Malayalam
|
ml
|
Mlym
|
|
|
Marathi
|
mr
|
Deva
|
|
|
Nepali
|
ne
|
Deva
|
|
|
Norwegian
|
no
|
Latn
|
|
|
Persian
|
fa
|
Arab
|
|
|
Polish
|
pl
|
Latn
|
|
|
Portuguese (Portugal & Brazil)
|
pt
|
Latn
|
|
|
Punjabi
|
pa
|
Guru
|
|
|
Romanian
|
ro
|
Latn
|
|
|
Russian
|
ru
|
Cyrl
|
|
|
Serbian
|
sr
|
Cyrl
|
|
|
Slovak
|
sk
|
Latn
|
|
|
Slovenian
|
sl
|
Latn
|
|
|
Spanish
|
es
|
Latn
|
|
|
Swedish
|
sv
|
Latn
|
|
|
Tagalog
|
tl
|
Latn
|
|
|
Tamil
|
ta
|
Taml
|
|
|
Telugu
|
te
|
Telu
|
|
|
Thai
|
th
|
Thai
|
|
|
Turkish
|
tr
|
Latn
|
|
|
Ukrainian
|
uk
|
Cyrl
|
|
|
Vietnamese
|
vi
|
Latn
|
|
|
Yiddish
|
yi
|
Hebr
|
| Version ID | Release Channel | Description |
|---|---|---|
pretrained-layout-parser-v1.0-2024-06-03
|
Stable | Recommended version. |
For more information, see Managing processor versions.
| Maximum pages (online/synchronous requests): | 15 |
| Maximum pages (batch/offline/asynchronous requests): | 500 |
|---|---|
| Maximum pages (imageless mode online/synchronous requests): | 30 |
-
eu -
us
Explore pretrained processors
Bank Statement Parser
Extract from bank statements including name, account, transactions, etc.
BANK_STATEMENT_PROCESSOR
- If a page of a multi-page input file is the correct document type and one of the supported versions, the processor performs entity extraction on the first supported document. If the processor doesn't find any applicable documents in the input file, the processor returns an error message.
| Language Name | BCP 47 Tag | Script | Handwriting supported |
|---|---|---|---|
|
English
|
en
|
Latn
|
| Version ID | Release Channel | Description |
|---|---|---|
pretrained-bankstatement-v1.0-2021-08-08
|
Stable | |
pretrained-bankstatement-v1.1-2021-08-13
|
Stable | |
pretrained-bankstatement-v2.0-2021-12-10
|
Stable | |
pretrained-bankstatement-v3.0-2022-05-16
|
Stable | This version assumes that the input file contains a single bank statement. Unlike the default version, this version does not check the input file for bank statements and will not return an error if no bank statements are found. |
pretrained-bankstatement-v4.0-2023-07-31
|
Release Candidate | |
pretrained-bankstatement-v5.0-2023-12-06
|
Release Candidate |
For more information, see Managing processor versions.
| Maximum pages (online/synchronous requests): | 15 |
| Maximum pages (batch/offline/asynchronous requests): | 30 |
|---|---|
| Maximum pages (imageless mode online/synchronous requests): | 30 |
You can also find this information in the Field detected page.
Full list of fields
-
account_number -
account_type -
bank_address -
bank_name -
client_address -
client_name -
ending_balance -
starting_balance -
statement_date -
statement_end_date -
statement_start_date -
table_item -
table_item/transaction_deposit -
table_item/transaction_deposit_date -
table_item/transaction_deposit_description -
table_item/transaction_withdrawal -
table_item/transaction_withdrawal_date -
table_item/transaction_withdrawal_description
You can find more information in the Enrichment & normalization page.
Full list of enriched fields
-
bank_address -
bank_name
You can find more information in the Enrichment & normalization page.
Full list of normalized fields
-
ending_balance -
starting_balance -
statement_date -
statement_end_date -
statement_start_date -
table_item/transaction_deposit -
table_item/transaction_deposit_date -
table_item/transaction_withdrawal -
table_item/transaction_withdrawal_date
-
eu -
us
W2 Parser
Extract from Form W2, including employee, employer, wages, etc.
FORM_W2_PROCESSOR
- If a page of a multi-page input file is the correct document type and one of the supported versions, the processor performs entity extraction on the first supported document. If the processor doesn't find any applicable documents in the input file, the processor returns an error message.
| Language Name | BCP 47 Tag | Script | Handwriting supported |
|---|---|---|---|
|
English
|
en
|
Latn
|
- 2020 (standard and customized versions)
- 2019 (standard and customized versions)
- 2018 (standard and customized versions)
pretrained-w2-v1.0-2020-10-01
None
pretrained-w2-v1.1-2022-01-27
None
pretrained-w2-v1.2-2022-01-28
Show fields
-
AllocatedTips -
ControlNumber -
DependentCareBenefits -
EIN -
EmployeeAddress -
EmployeeName -
EmployerNameAndAddress -
EmployerStateIdNumber_Line1 -
FederalIncomeTaxWithheld -
FormYear -
LocalIncomeTax_Line1 -
LocalityName_Line1 -
LocalWagesTipsEtc_Line1 -
MedicareTaxWithheld -
MedicareWagesAndTips -
NonqualifiedPlans -
SocialSecurityTaxWithheld -
SocialSecurityTips -
SocialSecurityWages -
SSN -
State_Line1 -
StateIncomeTax_Line1 -
StateWagesTipsEtc_Line1 -
WagesTipsOtherCompensation
Quality improvements and supporting new fields; does not include splitter.
pretrained-w2-v2.0-2022-03-30
Show fields
-
AllocatedTips -
ControlNumber -
DependentCareBenefits -
EIN -
EmployeeAddress_AdditionalStreetAddressOrPostalBox -
EmployeeAddress_City -
EmployeeAddress_State -
EmployeeAddress_StreetAddressOrPostalBox -
EmployeeAddress_Zip -
EmployeeName_FirstName -
EmployeeName_LastName -
EmployeeName_MiddleNameOrInitial -
EmployerAddress_AdditionalStreetAddressOrPostalBox -
EmployerAddress_City -
EmployerAddress_State -
EmployerAddress_StreetAddressOrPostalBox -
EmployerAddress_Zip -
EmployerName -
EmployerStateIdNumber_Line1 -
FederalIncomeTaxWithheld -
FormYear -
LocalIncomeTax_Line1 -
LocalWagesTipsEtc_Line1 -
LocalityName_Line1 -
MedicareTaxWithheld -
MedicareWagesAndTips -
NonqualifiedPlans -
SSN -
SocialSecurityTaxWithheld -
SocialSecurityTips -
SocialSecurityWages -
StateIncomeTax_Line1 -
StateWagesTipsEtc_Line1 -
State_Line1 -
WagesTipsOtherCompensation -
a_Code -
a_Value -
b_Code -
b_Value -
c_Code -
c_Value -
d_Code -
d_Value
Quality improvements and support for box 12 fields and fine-grained predictions of EmployeeName
, EmployeeAddress
, and EmployerNameAndAddress
, all of which are no longer part of the output and are replaced with additional fields.
pretrained-w2-v2.1-2022-06-08
Show fields
-
AllocatedTips -
ControlNumber -
DependentCareBenefits -
EIN -
EmployeeAddress_AdditionalStreetAddressOrPostalBox -
EmployeeAddress_City -
EmployeeAddress_State -
EmployeeAddress_StreetAddressOrPostalBox -
EmployeeAddress_Zip -
EmployeeName_FirstName -
EmployeeName_LastName -
EmployeeName_MiddleNameOrInitial -
EmployeeName_Suffix -
EmployerAddress_AdditionalStreetAddressOrPostalBox -
EmployerAddress_City -
EmployerAddress_State -
EmployerAddress_StreetAddressOrPostalBox -
EmployerAddress_Zip -
EmployerName -
EmployerStateIdNumber_Line1 -
FederalIncomeTaxWithheld -
FormYear -
LocalIncomeTax_Line1 -
LocalWagesTipsEtc_Line1 -
LocalityName_Line1 -
MedicareTaxWithheld -
MedicareWagesAndTips -
NonqualifiedPlans -
SSN -
SocialSecurityTaxWithheld -
SocialSecurityTips -
SocialSecurityWages -
StateIncomeTax_Line1 -
StateWagesTipsEtc_Line1 -
State_Line1 -
WagesTipsOtherCompensation -
a_Code -
a_Value -
b_Code -
b_Value -
c_Code -
c_Value -
d_Code -
d_Value
Similar to version pretrained-w2-v2.0-2022-03-30
with further quality enhancements and introducing one more entity EmployeeName_Suffix
.
For more information, see Managing processor versions.
| Maximum pages (online/synchronous requests): | 15 |
| Maximum pages (batch/offline/asynchronous requests): | 15 |
|---|---|
| Maximum pages (imageless mode online/synchronous requests): | 15 |
You can also find this information in the Field detected page.
Full list of fields
-
ControlNumber -
EIN -
EmployeeAddress -
EmployeeName -
EmployerNameAndAddress -
FederalIncomeTaxWithheld -
MedicareTaxWithheld -
MedicareWagesAndTips -
SSN -
SocialSecurityTaxWithheld -
SocialSecurityWages -
WagesTipsOtherCompensation
You can find more information in the Enrichment & normalization page.
Full list of enriched fields
-
EmployerNameAndAddress -
EIN
-
eu -
us
US Passport Parser
Extract fields such as names, document ID, date of birth, etc.
US_PASSPORT_PROCESSOR
| Language Name | BCP 47 Tag | Script | Handwriting supported |
|---|---|---|---|
|
English
|
en
|
Latn
|
| Version ID | Release Channel | Description |
|---|---|---|
pretrained-us-passport-v1.0-2021-06-14
|
Stable |
For more information, see Managing processor versions.
| Maximum pages (online/synchronous requests): | 2 |
| Maximum pages (batch/offline/asynchronous requests): | 2 |
|---|---|
| Maximum pages (imageless mode online/synchronous requests): | 2 |
You can also find this information in the Field detected page.
Full list of fields
-
Family Name -
Given Names -
Document Id -
Expiration Date -
Date Of Birth -
Issue Date -
MRZ Code -
Portrait
You can find more information in the Enrichment & normalization page.
Full list of normalized fields
-
Date Of Birth -
Expiration Date -
Issue Date
-
eu -
us
Utility Parser
Extract text and values from utility bills such as supplier name and previous paid amount.
UTILITY_PROCESSOR
| Language Name | BCP 47 Tag | Script | Handwriting supported |
|---|---|---|---|
|
English
|
en
|
Latn
|
| Version ID | Release Channel | Description |
|---|---|---|
pretrained-utility-v1.1-2021-04-09
|
Stable | |
pretrained-utility-v1.2-2022-12-15
|
Release Candidate |
For more information, see Managing processor versions.
| Maximum pages (online/synchronous requests): | 10 |
| Maximum pages (batch/offline/asynchronous requests): | 200 |
|---|---|
| Maximum pages (imageless mode online/synchronous requests): | 30 |
You can also find this information in the Field detected page.
Full list of fields
-
adjusted_amount -
amount_due -
balance_transfer_amount -
carrier -
currency -
currency_exchange_rate -
delivery_date -
deposit_credited_amount -
due_date -
freight_amount -
invoice_date -
invoice_id -
late_fee_amount -
line_item -
line_item/amount -
line_item/description -
line_item/frequency -
line_item/product_code -
line_item/purchase_order -
line_item/quantity -
line_item/service_address -
line_item/service_end_date -
line_item/service_id_1 -
line_item/service_id_2 -
line_item/service_start_date -
line_item/supplier_account_number -
line_item/tax_amount -
line_item/unit_number -
line_item/unit_of_measure -
line_item/unit_price -
line_item/usage -
net_amount -
payment_terms -
prior_amount_due -
prior_paid_amount -
purchase_order -
receiver_address -
receiver_email -
receiver_name -
receiver_phone -
receiver_tax_id -
receiver_website -
reclaimed_water -
remit_to_address -
remit_to_name -
service -
service/service_end_date -
service/service_id -
service/service_start_date -
service/unit_of_measure -
service/usage -
service_address -
service_end_date -
service_id -
service_start_date -
ship_from_address -
ship_from_name -
ship_to_address -
ship_to_name -
supplier_account_number -
supplier_address -
supplier_email -
supplier_iban -
supplier_name -
supplier_payment_ref -
supplier_phone -
supplier_registration -
supplier_tax_id -
supplier_website -
tampering -
total_amount -
total_tax_amount -
usage -
vat -
vat/amount -
vat/category_code -
vat/tax_amount -
vat/tax_rate
You can find more information in the Enrichment & normalization page.
Full list of normalized fields
-
adjusted_amount -
amount_due -
balance_transfer_amount -
currency -
currency_exchange_rate -
delivery_date -
due_date -
invoice_date -
late_fee_amount -
line_item/amount -
line_item/quantity -
line_item/tax_amount -
line_item/unit_price -
net_amount -
prior_amount_due -
prior_paid_amount -
total_amount -
total_tax_amount
-
eu -
us
Identity Document Proofing Parser
Predict the validity of ID documents using multiple signals.
Identity Document Proofing Processor is designed to help predict the validity of ID documents with four different signals.
The processor currently returns information from the following signals:
-
fraud_signals_is_identity_documentdetection: Predicts whether an image contains a recognized identity document. -
fraud_signals_suspicious_wordsdetection: Predicts whether words are present that aren't typical on IDs. -
fraud_signals_image_manipulationdetection: Predicts whether the image was altered or tampered with an image editing tool. -
fraud_signals_online_duplicatedetection: Predicts whether the image can be found online (US only).
ID_PROOFING_PROCESSOR
- The Online Duplicate Detection feature is currently processed in US data centers. Regional and multi-regional support is unavailable for this feature outside of the US.
- This processor is supported by algorithms that are updated more frequently than new processor versions are released. For this reason, the processor might return different outputs over time even when using the same processor version. For example, the Online Duplicate Detection system monitors images present on the web. The system's behavior can then change more quickly than can be tracked in processor versions.
- Refer to notes on Responsible AI [†] and Human review. [‡]
| Language Name | BCP 47 Tag | Script | Handwriting supported |
|---|---|---|---|
|
English
|
en
|
Latn
|
- Support for US passports, passcards and driver's licenses.
pretrained-id-proofing-v1.0-2022-10-03
None
pretrained-id-proofing-v1.1-2023-05-18
Show fields
-
fraud_signals_photocopy_detection
Additional photocopy detection signal
pretrained-id-proofing-v1.2-2023-10-04
Show fields
-
fraud_signals_photocopy_detection
For more information, see Managing processor versions.
| Maximum pages (online/synchronous requests): | 2 |
| Maximum pages (batch/offline/asynchronous requests): | 2 |
|---|---|
| Maximum pages (imageless mode online/synchronous requests): | 2 |
You can also find this information in the Field detected page.
Full list of fields
-
fraud_signals_is_identity_document -
fraud_signals_suspicious_words -
evidence_suspicious_word -
evidence_inconclusive_suspicious_word -
fraud_signals_image_manipulation -
fraud_signals_online_duplicate (US only) -
fraud_signals_photocopy_detection -
evidence_hostname (US only) -
evidence_thumbnail_url (US only)
You can find more information in the Enrichment & normalization page.
Full list of normalized fields
-
fraud_signals_image_manipulation -
fraud_signals_online_duplicate (US only) -
fraud_signals_is_identity_document -
fraud_signals_suspicious_words
-
eu -
us
Pay Slip Parser
Extract from pay slips, including name, business, amounts, etc.
PAYSTUB_PROCESSOR
- If the multi-page input document contains more than one valid pay slips, the processor extracts entities from only the first valid pay slip. If no pay slips are found in the input file, the processor returns an error message.
| Language Name | BCP 47 Tag | Script | Handwriting supported |
|---|---|---|---|
|
English
|
en
|
Latn
|
pretrained-paystub-v1.0-2021-03-19
None
pretrained-paystub-v1.1-2021-08-13
Show fields
-
net_pay -
net_pay_ytd -
employee_account_number
pretrained-paystub-v1.2-2021-12-10
None
pretrained-paystub-v2.0-2022-05-17
Show fields
-
deduction_item -
deduction_item/deduction_type -
deduction_item/deduction_this_period -
deduction_item/deduction_ytd -
direct_deposit_item -
direct_deposit_item/direct_deposit -
direct_deposit_item/employee_account_number -
earning_item -
earning_item/earning_type -
earning_item/earning_rate -
earning_item/earning_hours -
earning_item/earning_this_period -
earning_item/earning_ytd -
page_number -
tax_item -
tax_item/tax_type -
tax_item/tax_this_period -
tax_item/tax_ytd -
federal_additional_tax -
federal_allowance -
federal_marital_status -
state_additional_tax -
state_allowance -
state_marital_status
This version assumes that the input file contains a single pay slip. Unlike the default version, this version does not check the input file for pay slips and will not return an error if no pay slips are found.
Quality improvement, new fields support and new schema. Bonus, Commissions, Holiday, Overtime, Regular Pay and Vacation are now part of earning_item/earning_this_period, and their year-to-date versions are in earning_item/earning_ytd. Direct Deposit and Employee Account Number are now nested under direct_deposit_item.
Async page limit is 10.
pretrained-paystub-v2.0-2022-07-22
None
Quality improvement and uptraining enhancements.
pretrained-paystub-v3.0-2023-12-06
None
For more information, see Managing processor versions.
| Maximum pages (online/synchronous requests): | 15 |
| Maximum pages (batch/offline/asynchronous requests): | 50 |
|---|---|
| Maximum pages (imageless mode online/synchronous requests): | 30 |
You can also find this information in the Field detected page.
Full list of fields
-
bonus -
bonus_ytd -
commissions -
commissions_ytd -
direct_deposit -
employee_account_number (Added in "pretrained-paystub-v1.1-2021-08-13") -
employee_address -
employee_name -
employer_address -
employer_name -
end_date -
gross_earnings -
gross_earnings_ytd -
holiday -
holiday_ytd -
net_pay (Added in "pretrained-paystub-v1.1-2021-08-13") -
net_pay_ytd (Added in "pretrained-paystub-v1.1-2021-08-13") -
overtime -
overtime_ytd -
pay_date -
regular_pay -
regular_pay_ytd -
ssn -
start_date -
vacation -
vacation_ytd
You can find more information in the Enrichment & normalization page.
Full list of enriched fields
-
employer_address -
employer_name
You can find more information in the Enrichment & normalization page.
Full list of normalized fields
-
bonus -
bonus_ytd -
commissions -
commissions_ytd -
direct_deposit -
end_date -
gross_earnings -
gross_earnings_ytd -
holiday -
holiday_ytd -
net_pay -
net_pay_ytd -
overtime -
overtime_ytd -
pay_date -
regular_pay -
regular_pay_ytd -
start_date -
vacation -
vacation_ytd
-
eu -
us
US Driver License Parser
Extract fields such as names, document ID, date of birth, etc.
US_DRIVER_LICENSE_PROCESSOR
| Language Name | BCP 47 Tag | Script | Handwriting supported |
|---|---|---|---|
|
English
|
en
|
Latn
|
- Supports all 50 States and D.C.
| Version ID | Release Channel | Description |
|---|---|---|
pretrained-us-driver-license-v1.0-2021-06-14
|
Stable |
For more information, see Managing processor versions.
| Maximum pages (online/synchronous requests): | 2 |
| Maximum pages (batch/offline/asynchronous requests): | 2 |
|---|---|
| Maximum pages (imageless mode online/synchronous requests): | 2 |
You can also find this information in the Field detected page.
Full list of fields
-
Family Name -
Given Names -
Document Id -
Expiration Date -
Date Of Birth -
Issue Date -
Address -
Portrait
You can find more information in the Enrichment & normalization page.
Full list of normalized fields
-
Date Of Birth -
Expiration Date -
Issue Date
-
eu -
us
Expense Parser
Extract text and values from expense documents such as expense date, supplier name, total amount, and currency.
EXPENSE_PROCESSOR
Full list of languages
| Language Name | BCP 47 Tag | Script | Handwriting supported |
|---|---|---|---|
|
German
|
de
|
Latn
|
|
|
English
|
en
|
Latn
|
|
|
Spanish
|
es
|
Latn
|
|
|
French
|
fr
|
Latn
|
|
|
Japanese
|
ja
|
Jpan
|
|
|
Dutch
|
nl
|
Latn
|
pretrained-expense-v1.1-2021-04-09
None
None
pretrained-expense-v1.3.2-2024-09-11
Show fields
-
credit_card_last_four_digits -
line_item/quantity -
payment_type
-
ja: Japanese
pretrained-expense-v1.4-2022-11-18
Show fields
-
traveler_name -
reservation_id -
line_item/transaction_date
-
ja: Japanese -
it: Italian -
pt: Portuguese (Portugal & Brazil)
pretrained-expense-v1.4.2-2024-09-12
Show fields
-
traveler_name -
reservation_id -
line_item/transaction_date
-
ja: Japanese -
it: Italian -
pt: Portuguese (Portugal & Brazil)
For more information, see Managing processor versions.
| Maximum pages (online/synchronous requests): | 10 |
| Maximum pages (batch/offline/asynchronous requests): | 10 |
|---|---|
| Maximum pages (imageless mode online/synchronous requests): | 10 |
You can also find this information in the Field detected page.
Full list of fields
-
credit_card_last_four_digits -
currency -
end_date -
net_amount -
payment_type -
purchase_time -
receipt_date -
start_date -
supplier_address -
supplier_city -
supplier_name -
tip_amount -
total_amount -
total_tax_amount -
line_item -
line_item/amount -
line_item/description -
line_item/product_code
You can find more information in the Enrichment & normalization page.
Full list of enriched fields
-
supplier_address -
supplier_name -
supplier_phone
You can find more information in the Enrichment & normalization page.
Full list of normalized fields
-
currency -
total_amount -
total_tax_amount -
net_amount -
receipt_date -
purchase_time -
start_date -
end_date -
line_item/amount -
line_item/payment_date -
line_item/payment_amount
-
asia-southeast1 -
australia-southeast1 -
eu -
northamerica-northeast1 -
us
Invoice Parser
Extract text and values from invoices such as invoice number, supplier name, invoice amount, tax amount, invoice date, due date.
The invoice Parser extracts both header and line item fields, such as invoice number, supplier name, invoice amount, tax amount, invoice date, due date, and line item amounts.
INVOICE_PROCESSOR
Full list of languages
| Language Name | BCP 47 Tag | Script | Handwriting supported |
|---|---|---|---|
|
German
|
de
|
Latn
|
|
|
English
|
en
|
Latn
|
|
|
Spanish
|
es
|
Latn
|
|
|
Estonian
|
et
|
Latn
|
|
|
French
|
fr
|
Latn
|
|
|
Italian
|
it
|
Latn
|
|
|
Latvian
|
lv
|
Latn
|
|
|
Lithuanian
|
lt
|
Latn
|
|
|
Dutch
|
nl
|
Latn
|
|
|
Portuguese (Portugal & Brazil)
|
pt
|
Latn
|
|
|
Romanian
|
ro
|
Latn
|
|
|
Swedish
|
sv
|
Latn
|
pretrained-invoice-v1.1-2021-04-09
None
pretrained-invoice-v1.2-2022-02-18
None
pretrained-invoice-v1.3-2022-07-15
-
it: Italian -
pt: Portuguese (Portugal & Brazil) -
ro: Romanian -
sv: Swedish -
et: Estonian -
lv: Latvian -
lt: Lithuanian
pretrained-invoice-v1.4-2022-10-21
None
pretrained-invoice-v1.5-2023-09-15
None
pretrained-invoice-v2.0-2023-12-06
None
For more information, see Managing processor versions.
| Maximum pages (online/synchronous requests): | 15 |
| Maximum pages (batch/offline/asynchronous requests): | 200 |
|---|---|
| Maximum pages (imageless mode online/synchronous requests): | 30 |
You can also find this information in the Field detected page.
Full list of fields
-
amount_paid_since_last_invoice -
carrier -
currency -
currency_exchange_rate -
delivery_date -
due_date -
freight_amount -
invoice_date -
invoice_id -
line_item -
line_item/amount -
line_item/description -
line_item/product_code -
line_item/purchase_order -
line_item/quantity -
line_item/unit -
line_item/unit_price -
net_amount -
payment_terms -
purchase_order -
receiver_address -
receiver_email -
receiver_name -
receiver_phone -
receiver_tax_id -
receiver_website -
remit_to_address -
remit_to_name -
ship_from_address -
ship_from_name -
ship_to_address -
ship_to_name -
supplier_address -
supplier_email -
supplier_iban -
supplier_name -
supplier_payment_ref -
supplier_phone -
supplier_registration -
supplier_tax_id -
supplier_website -
total_amount -
total_tax_amount -
vat -
vat/amount -
vat/category_code -
vat/tax_amount -
vat/tax_rate
You can find more information in the Enrichment & normalization page.
Full list of enriched fields
-
supplier_address -
supplier_name -
supplier_phone
You can find more information in the Enrichment & normalization page.
Full list of normalized fields
-
amount_paid_since_last_invoice -
currency -
currency_exchange_rate -
delivery_date -
due_date -
freight_amount -
invoice_date -
net_amount -
total_amount -
total_tax_amount -
line_item/amount -
line_item/quantity -
line_item/unit_price -
vat/amount -
vat/tax_amount -
vat/tax_rate
-
asia-south1 -
asia-southeast1 -
australia-southeast1 -
eu -
northamerica-northeast1 -
us
Classify documents
Custom Classifier
Train a model to classify a document type from a set of classes.
CUSTOM_CLASSIFICATION_PROCESSOR
| Language Name | BCP 47 Tag | Script | Handwriting supported |
|---|---|---|---|
|
English
|
en
|
Latn
|
| Version ID | Release Channel | Description |
|---|---|---|
pretrained-foundation-model-v1.4-2025-05-16
|
Release Candidate | Release candidate powered by the Gemini 2.0 Flash LLM. Also includes advanced OCR features. |
pretrained-classifier-v1.5-2025-08-05
|
Release Candidate | Release candidate powered by the Gemini 2.5 Flash LLM. Also includes advanced OCR features. |
For more information, see Managing processor versions.
| Maximum pages (online/synchronous requests): | 15 |
| Maximum pages (batch/offline/asynchronous requests): | 200 |
|---|---|
| Maximum pages (imageless mode online/synchronous requests): | 30 |
-
asia-south1 -
asia-southeast1 -
australia-southeast1 -
eu -
europe-west2 -
europe-west3 -
northamerica-northeast1 -
us
Custom Splitter
Train a model to split a file containing multiple documents into individual, classified documents.
CUSTOM_SPLITTING_PROCESSOR
- i18n can be supported through custom training options only.
| Language Name | BCP 47 Tag | Script | Handwriting supported |
|---|---|---|---|
|
English
|
en
|
Latn
|
| Maximum pages (online/synchronous requests): | 15 |
| Maximum pages (batch/offline/asynchronous requests): | 1000 |
|---|---|
| Maximum pages (imageless mode online/synchronous requests): | 30 |
-
asia-south1 -
asia-southeast1 -
australia-southeast1 -
eu -
europe-west2 -
europe-west3 -
northamerica-northeast1 -
us
Summarize documents
Summarizer
Get abstract and bullet point summaries for short and long documents.
SUMMARY_PROCESSOR
| Language Name | BCP 47 Tag | Script | Handwriting supported |
|---|---|---|---|
|
English
|
en
|
Latn
|
| Version ID | Release Channel | Description |
|---|---|---|
pretrained-foundation-model-v1.0-2023-08-22
|
Stable | Google foundation model |
For more information, see Managing processor versions.
| Maximum pages (online/synchronous requests): | 15 |
| Maximum pages (batch/offline/asynchronous requests): | 250 |
|---|---|
| Maximum pages (imageless mode online/synchronous requests): | 30 |
Footnotes
To request API access, fill out and submit the Document AI limited access customer request form . The form requests information about you, your company, and your use case. Note that a Google Cloud Project ID is required for access. To create a new Google Cloud project, or identify your existing project's Project ID see the following instructions .
After you submit the form, the Document AI team will review your request to ensure you meet the criteria for access. If approved, you will receive an email with instructions on how to access and use this feature.
[†]
Identity Document Proofing works to extract and evaluate information from ID documents that contributes to identifying whether the input image represents an authentic ID.
At Google Cloud, we prioritize helping customers safely develop and implement AI solutions, and Identity Proofing has been developed in accordance with Google's AI Principles.
Based on Google's AI Principles and current product design, we strongly recommend using caution and carefully evaluating the potential benefits and risks of using Identity Document Proofing for the following:
- Decision-making without a human in the loop for predictions that can impact human rights.
- In sensitive domains including but not limited to employment, access to public services, healthcare, and safety-critical contexts.
[‡]
Always use Identity Proofing as part of your broader identity-detection process and workflow.
It is important that you have a human reviewer in your workflow to verify whether the predicted signals are accurate. The Identity Proofing processor isn't meant to replace human review of IDs in a workflow, but rather to assist human reviewers in validating ID documents. The Identity Proofing processor shouldn't be used as an automated decision tool to determine whether an ID is valid. With human review, customers can achieve higher document processing accuracy and help businesses evaluate predictions using purpose-built tools to enable those reviews.
Make sure that you review regulations in the region where you are implementing this technology, and research existing industry guidance to learn about policy guidelines and common fairness issues. Read about fairness in machine learning, including ways to mitigate bias in training datasets, evaluate your custom models for disparities in performance, and other considerations as you use your custom model.
We encourage customers to keep fairness, interpretability, and privacy and security best practices in mind when implementing Identity Proofing. To learn more about how to implement responsible AI, read Google's recommendations for Responsible AI practices
.
Refer to the blog post Automate identity document processing with Document AI]
for more information on use cases and a sample application code repository.
