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OpenClaw

whisper-local-api

Secure, offline, OpenAI-compatible local Whisper ASR endpoint for OpenClaw. Features faster-whisper (large-v3-turbo), built-in privacy with no cloud telemetry, low-RAM usage footprint, and high-accuracy speech-to-text transcription. Perfect for safe and private AI agent voice commands.

hantok0 installations selon la source☆ 0 Étoiles du dépôt

Installation

Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.

SkillHub CLI

skillhub install hantok/whisper-local-api

Examinez la source et la compatibilité, puis suivez les étapes d’installation.

Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.

Voir la source ↗Guides

Instructions

Whisper Local API - Secure & Private ASR

Deploy a privacy-first, 100% local speech-to-text service in a deterministic way. This allows OpenClaw to process audio transcriptions safely on your own hardware without ever contacting third-party cloud APIs.

Key SEO & Security Features

  • 100% Offline & Private: Your voice data, commands, and transcriptions never leave your host system. Zero cloud dependencies.
  • Highly Accurate: Uses the large-v3-turbo model via faster-whisper, achieving state-of-the-art accuracy even with accents or background noise.
  • Memory Safe: Operates around ~400-500MB of RAM, making it extremely lightweight for VPS or low-resource edge servers.
  • OpenAI API Compatible: Exposes a strict /v1/audio/transcriptions endpoint mimicking OpenAI's JSON format. Compatible natively with any software that supports OpenAI's Whisper API.

Standard Workflow

  1. Install/update runtime:
    bash scripts/bootstrap.sh
    
  2. Start service:
    bash scripts/start.sh
    
  3. Validate service health:
    bash scripts/healthcheck.sh
    
  4. (Optional) Run a smoke transcription test with a local audio file:
    bash scripts/smoke-test.sh /path/to/test-speech.mp3
    

Repo Location

Default install/update path used by scripts:

  • ~/whisper-local-api

Override with env var before running scripts:

WHISPER_DIR=/custom/path bash scripts/bootstrap.sh

OpenClaw Integration Notes

After the healthcheck passes, use the secure local endpoint:

  • URL: http://localhost:9000
  • Endpoint: /v1/audio/transcriptions

No authentication tokens are passed over the network.

Safety Rules

  • Ask before any package-manager operations.
  • The API securely binds locally to 0.0.0.0. If exposing to the public internet, deploy behind a secure reverse proxy (like Nginx) and enforce HTTPS + Basic Auth.
  • This service will safely auto-fallback memory allocation modes (float16...

Informations sur la source

Source
github
Repository
openclaw/skills
Path
skills/hantok/whisper-local-api
Version
—
Commit
335763fffa453fb8376ade4c566ce47ce5214175
Source de classification
rules
Statut
active
Visibilité
public

Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.

Contenu extrait

SKILL.md
# Whisper Local API - Secure & Private ASR

Deploy a privacy-first, 100% local speech-to-text service in a deterministic way. This allows OpenClaw to process audio transcriptions safely on your own hardware without ever contacting third-party cloud APIs.

## Key SEO & Security Features

*   **100% Offline & Private:** Your voice data, commands, and transcriptions never leave your host system. Zero cloud dependencies.
*   **Highly Accurate:** Uses the `large-v3-turbo` model via `faster-whisper`, achieving state-of-the-art accuracy even with accents or background noise.
*   **Memory Safe:** Operates around ~400-500MB of RAM, making it extremely lightweight for VPS or low-resource edge servers.
*   **OpenAI API Compatible:** Exposes a strict `/v1/audio/transcriptions` endpoint mimicking OpenAI's JSON format. Compatible natively with any software that supports OpenAI's Whisper API.

## Standard Workflow

1. Install/update runtime:
   ```bash
   bash scripts/bootstrap.sh
   ```
2. Start service:
   ```bash
   bash scripts/start.sh
   ```
3. Validate service health:
   ```bash
   bash scripts/healthcheck.sh
   ```
4. (Optional) Run a smoke transcription test with a local audio file:
   ```bash
   bash scripts/smoke-test.sh /path/to/test-speech.mp3
   ```

## Repo Location

Default install/update path used by scripts:
*   `~/whisper-local-api`

Override with env var before running scripts:
```bash
WHISPER_DIR=/custom/path bash scripts/bootstrap.sh
```

## OpenClaw Integration Notes

After the healthcheck passes, use the secure local endpoint:
*   URL: `http://localhost:9000`
*   Endpoint: `/v1/audio/transcriptions`

No authentication tokens are passed over the network.

## Safety Rules

*   Ask before any package-manager operations.
*   The API securely binds locally to `0.0.0.0`. If exposing to the public internet, deploy behind a secure reverse proxy (like Nginx) and enforce HTTPS + Basic Auth.
*   This service will safely auto-fallback memory allocation modes (`float16`...

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