Skip to main content

GENSHI Works STT SDK — high-accuracy domain-specific speech-to-text

Project description

GENSHI Works STT SDK

High-accuracy domain-specific speech-to-text SDK. Supports batch transcription and realtime streaming with built-in VAD and on-device STT inference.

Installation

Python

pip install genshiai-stt

# With native runtime (recommended for production):
pip install genshiai-stt[native]

Node.js

npm install @genshiai/stt

The correct native addon for your platform is installed automatically via optional dependencies.

Browser

npm install @genshiai/stt-web

Quick Start

Python

import asyncio

from genshi_stt import GenshiSTTClient

async def main() -> None:
    async with GenshiSTTClient(api_key="gw-...") as client:
        with open("recording.wav", "rb") as f:
            result = await client.transcribe(f.read())
        print(result.text)

        async with client.stream(
            domain="medical",
            secure=True,
            dictionary_ids=["dict_hospital"],
            dictionaries=[
                {
                    "id": "dict_hospital",
                    "name": "院内用語",
                    "industry": "medical",
                    "terms": [{"term": "GENSHI AI", "reading": "げんしえーあい"}],
                }
            ],
        ) as session:
            events = await session.push(audio_chunk)  # PCM16 bytes
            print(events[0].text if events else "")
            final = await session.finalize()
            print(final.text)

asyncio.run(main())

Node.js / TypeScript

import { GenshiSTTClient } from '@genshiai/stt';

const client = new GenshiSTTClient({ apiKey: 'gw-...' });

// Batch transcription
const result = await client.transcribe(audioBuffer);
console.log(result.text);

// Realtime streaming
const session = client.stream({
  domain: 'medical',
  secure: true,
  dictionaryIds: ['dict_hospital'],
  dictionaries: [
    {
      id: 'dict_hospital',
      name: '院内用語',
      industry: 'medical',
      terms: [{ term: 'GENSHI AI', reading: 'げんしえーあい' }],
    },
  ],
});
const events = await session.push(pcm16Chunk);
console.log(events[0]?.text);
const final = await session.finalize();
console.log(final.text);

Browser

import { GenshiSTTClient, createMicStream } from '@genshiai/stt-web';

const client = new GenshiSTTClient({ apiKey: 'gw-...' });
await client.init();

const session = client.stream({
  domain: 'medical',
  secure: true,
  dictionaryIds: ['dict_hospital'],
  dictionaries: [
    {
      id: 'dict_hospital',
      name: '院内用語',
      industry: 'medical',
      terms: [{ term: 'GENSHI AI', reading: 'げんしえーあい' }],
    },
  ],
});

const mic = await createMicStream();
mic.onAudio(async (chunk) => {
  const events = await session.push(chunk);
  console.log(events[0]?.text);
});

// When done:
const result = await session.finalize();
console.log(result.text);

Always end realtime sessions with finalize(). close() is a force-abort path and does not send the billing finalize request.

secure=True / secure: true requests the Secure tier. Secure requests require an industry domain such as medical, or inline custom dictionaries.

Response

{
  "text": "今日は天気がいい",
  "raw_text": "きょうわ天気がいい",
  "processing_time_ms": 142
}

Supported Platforms

Platform Python Node.js
macOS ARM64 (Apple Silicon) genshiai-stt-native @genshiai/stt-native-darwin-arm64
Linux x64 genshiai-stt-native @genshiai/stt-native-linux-x64
Windows x64 genshiai-stt-native @genshiai/stt-native-windows-x64
Browser @genshiai/stt-web

Requirements

  • Python >= 3.10 / Node.js >= 20
  • Valid GENSHI Works API key
  • ffmpeg (Node.js batch decode only)

Browser SDK note:

  • await client.init() is required before transcribe() or realtime()
  • the npm package includes JSON metadata, and secured ONNX assets are fetched via POST /v1/activate

Documentation

Full documentation: https://docs.genshi.ai/stt

License

Proprietary. Copyright (c) 2026 GENSHI Works Inc. All rights reserved. See LICENSE.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

genshiai_stt-1.0.1.tar.gz (8.9 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

genshiai_stt-1.0.1-py3-none-any.whl (11.1 kB view details)

Uploaded Python 3

File details

Details for the file genshiai_stt-1.0.1.tar.gz.

File metadata

  • Download URL: genshiai_stt-1.0.1.tar.gz
  • Upload date:
  • Size: 8.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.12

File hashes

Hashes for genshiai_stt-1.0.1.tar.gz
Algorithm Hash digest
SHA256 f673257d2994567b1ee5ef0abdbea3f095f72021632c4b322b4dec6401f2bc5a
MD5 3a498a2be0b184420ad9406edccfaaa8
BLAKE2b-256 bdc83ae1cad385510d9625f1f2ca816f249258524a6ddcf41a9c2f9c316bcb98

See more details on using hashes here.

File details

Details for the file genshiai_stt-1.0.1-py3-none-any.whl.

File metadata

  • Download URL: genshiai_stt-1.0.1-py3-none-any.whl
  • Upload date:
  • Size: 11.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.12

File hashes

Hashes for genshiai_stt-1.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 bae3c3d2902c1e5957d0b77b5381c8a6dc0ae18167996cbcaec64ef43a86e577
MD5 0b205c4a007323324a06183aeeba7cea
BLAKE2b-256 4dd5d6487ac3a871ebaaef2379f1b944ed59fb2acf68ae3f62d5873dafb82ded

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page