The following LiteRT runtime APIs are available for Android development:
-
CompiledModelAPI: The modern standard for high-performanceinference, streamlining hardware acceleration across CPU/GPU/NPU. Learn more about why to choose the CompiledModel API . -
InterpreterAPI: the basic inference API, maintained for backward compatibility.
Get Started with CompiledModel
API
-
For classical ML models, see the following demo apps.
- Image segmentation Kotlin App : CPU/GPU/NPU inference.
- Image segmentation C++ App : CPU/GPU/NPU inference with asyncexecution.
-
For GenAI models, see the following demo apps:
- EmbeddingGemma semantic similarity C++ App : CPU/GPU/NPU inference.
Supported Android Versions and APIs
| LiteRT Version | Status | Supported API | Min SDK Level | Min NDK version (if used) | Release Date |
|---|---|---|---|---|---|
v2.1.5
|
✅ Latest | CompiledModel
Interpreter
(CPU only) |
23
(Android 6 Marshmallow) |
r26a
|
2026-05-15 |
v2.1.4
|
⚠️ Legacy | CompiledModel
Interpreter
(CPU only) |
23
(Android 6 Marshmallow) |
r26a
|
2026-04-10 |
v2.1.3
|
⚠️ Legacy | CompiledModel
Interpreter
(CPU only) |
23
(Android 6 Marshmallow) |
r26a
|
2026-03-16 |
v2.1.1
|
⚠️ Legacy | CompiledModel
Interpreter
(CPU only) |
23
(Android 6 Marshmallow) |
r26a
|
2026-01-27 |
v2.1.0
|
⚠️ Legacy | CompiledModel
Interpreter
(CPU only) |
23
(Android 6 Marshmallow) |
r26a
|
2025-12-19 |
v2.0.3
|
⚠️ Legacy | CompiledModel
|
26
(Android 8 Oreo) |
r26a
|
2025-11-08 |
v1.4.2
|
✅ Latest | Interpreter
|
21
(Android 5 Lollipop) |
r26a
|
2026-03-16 |
v1.4.1
|
⚠️ Legacy | Interpreter
|
21
(Android 5 Lollipop) |
r26a
|
2025-11-07 |
v1.4.0
|
⚠️ Legacy | Interpreter
|
26
(Android 8 Oreo) |
r26a
|
2025-06-25 |
v1.3.0
|
⚠️ Legacy | Interpreter
|
21
(Android 5 Lollipop) |
r26a
|
2025-05-19 |
v1.2.0
|
⚠️ Legacy | Interpreter
|
21
(Android 5 Lollipop) |
r26a
|
2025-03-13 |
Important: Keep your dependencies up to date to ensure compatibility with the latest features and security updates.
Quickstart with CompiledModel
API
Add the LiteRT Maven package to your Android project:
dependencies {
...
implementation `com.google.ai.edge.litert:litert:2.1.0`
}
Integrate your .tflite
model with the CompiledModel
API. The following code
snippet shows the basic implementation in Kotlin and C++.
Kotlin
// Load model and initialize runtime
val
compiledModel
=
CompiledModel
.
create
(
"/path/to/mymodel.tflite"
,
CompiledModel
.
Options
(
Accelerator
.
CPU
))
// Preallocate input/output buffers
val
inputBuffers
=
compiledModel
.
createInputBuffers
()
val
outputBuffers
=
compiledModel
.
createOutputBuffers
()
// Fill the input buffer
inputBuffers
.
get
(
0
).
writeFloat
(
input0
)
inputBuffers
.
get
(
1
).
writeFloat
(
input1
)
// Invoke
compiledModel
.
run
(
inputBuffers
,
outputBuffers
)
// Read the output
val
output
=
outputBuffers
.
get
(
0
).
readFloat
()
C++
// Load model and initialize runtime
LITERT_ASSIGN_OR_RETURN
(
auto
env
,
GetEnvironment
());
LITERT_ASSIGN_OR_RETURN
(
auto
options
,
GetOptions
());
LITERT_ASSIGN_OR_RETURN
(
auto
compiled_model
,
CompiledModel
::
Create
(
env
,
"/path/to/mymodel.tflite"
,
options
));
// Preallocate input/output buffers
LITERT_ASSIGN_OR_RETURN
(
auto
input_buffers
,
compiled_model
.
CreateInputBuffers
(
signature_index
));
LITERT_ASSIGN_OR_RETURN
(
auto
output_buffers
,
compiled_model
.
CreateOutputBuffers
(
signature_index
));
// Fill the input buffer
LITERT_ABORT_IF_ERROR
(
input_buffers
[
0
].
Write
(
input0
));
LITERT_ABORT_IF_ERROR
(
input_buffers
[
1
].
Write
(
input1
));
// Invoke
LITERT_ABORT_IF_ERROR
(
compiled_model
.
Run
(
signature_index
,
input_buffers
,
output_buffers
));
// Read the output
LITERT_ABORT_IF_ERROR
(
output_buffers
[
0
].
Read
(
output0
));
