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Transcribe audio files using Sber Salute Speech async API. Russian-first STT with support for ru-RU, en-US, kk-KZ, ky-KG, uz-UZ.
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Transcribe audio/video files to text with timestamps via Salute Speech async REST API.
SALUTE_AUTH_DATA must be set (Base64-encoded client_id:client_secret or raw authorization key from https://developers.sber.ru/studio/).verify_ssl=False) because Sber's certificate chain is non-standard. This is expected.| Audio encoding | Content-Type | Typical extensions |
|---|---|---|
MP3 |
audio/mpeg |
.mp3 |
PCM_S16LE |
audio/wav |
.wav |
OPUS |
audio/ogg |
.ogg, .opus |
FLAC |
audio/flac |
.flac |
ALAW |
audio/alaw |
.alaw |
MULAW |
audio/mulaw |
.mulaw |
ru-RU, en-US, kk-KZ (Kazakh), ky-KG (Kyrgyz), uz-UZ (Uzbek).
salute_transcribe.py with uv and appropriate arguments.uv run --with requests {baseDir}/salute_transcribe.py \
--file /path/to/audio.mp3 \
--output_dir ~/.openclaw/workspace/transcriptions \
--lang ru-RU
| Argument | Required | Default | Description |
|---|---|---|---|
--file |
Yes | — | Path to audio/video file |
--output_dir |
No | ~/.openclaw/workspace/transcribations |
Output directory for results |
--lang |
No | ru-RU |
Language code: ru-RU, en-US, kk-KZ, ky-KG, uz-UZ |
--audio-encoding |
No | MP3 |
Codec: MP3, PCM_S16LE, OPUS, FLAC, ALAW, MULAW |
--model |
No | general |
Recognition model: general or callcenter |
--hyp-count |
N... |
These signals come from indexed source analysis and may lag behind changes. Check the current source files.
# Audio Transcription with Sber Salute Speech
Transcribe audio/video files to text with timestamps via Salute Speech async REST API.
## Requirements
- **API Key**: Environment variable `SALUTE_AUTH_DATA` must be set (Base64-encoded `client_id:client_secret` or raw authorization key from https://developers.sber.ru/studio/).
- **SSL note**: The script disables SSL verification by default (`verify_ssl=False`) because Sber's certificate chain is non-standard. This is expected.
## Supported formats & encodings
| Audio encoding | Content-Type | Typical extensions |
|---------------|-------------|--------------------|
| `MP3` | `audio/mpeg` | `.mp3` |
| `PCM_S16LE` | `audio/wav` | `.wav` |
| `OPUS` | `audio/ogg` | `.ogg`, `.opus` |
| `FLAC` | `audio/flac` | `.flac` |
| `ALAW` | `audio/alaw` | `.alaw` |
| `MULAW` | `audio/mulaw` | `.mulaw` |
## Supported languages
`ru-RU`, `en-US`, `kk-KZ` (Kazakh), `ky-KG` (Kyrgyz), `uz-UZ` (Uzbek).
## Workflow
1. **Identify input files** — from user request.
2. **Read API key** from host environment.
3. **Run transcription** — execute `salute_transcribe.py` with `uv` and appropriate arguments.
4. **Deliver results** — present to user human-readable transcript with timestamps to the user and give a direct link to files.
## Usage
```bash
uv run --with requests {baseDir}/salute_transcribe.py \
--file /path/to/audio.mp3 \
--output_dir ~/.openclaw/workspace/transcriptions \
--lang ru-RU
```
### Arguments
| Argument | Required | Default | Description |
|----------|----------|---------|-------------|
| `--file` | **Yes** | — | Path to audio/video file |
| `--output_dir` | No | `~/.openclaw/workspace/transcribations` | Output directory for results |
| `--lang` | No | `ru-RU` | Language code: `ru-RU`, `en-US`, `kk-KZ`, `ky-KG`, `uz-UZ` |
| `--audio-encoding` | No | `MP3` | Codec: `MP3`, `PCM_S16LE`, `OPUS`, `FLAC`, `ALAW`, `MULAW` |
| `--model` | No | `general` | Recognition model: `general` or `callcenter` |
| `--hyp-count` | N...Search and hire real humans for tasks — photography, delivery, research, and more
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