Name: Openai Whisper Api
Author: steipete

What breaks without openclaw whisper api long audio

25MB file limits. Broken transcripts at splits. Silent ffmpeg failures.

→

Production-grade long audio transcription × 145 stars ÷ 10–20 minute setup ÷ no silent failures = accurate results at scale.

openclaw whisper api long audio — what it actually does

Transcribe long audio files using chunked streaming.

Split audio with overlapping windows to preserve accuracy.

Handle production pipelines requiring precise timing control.

Requires ffmpeg — auto-detected on install.

Avoids the 25MB hard limit of standard Whisper calls.

Security check — openclaw whisper api long audio

Privacy score: 7/10 — accesses connected platform APIs only. Lock it: review OAuth scopes before install, confirm Linux, macOS; OpenClaw ≥1.0; ffmpeg required compatibility.

Quick start — openclaw whisper api long audio in 10–20 minutes

Setup time: 10–20 minutes

You need:

OpenClaw core
OpenAI API key
ffmpeg for audio preprocessing

Install the package:

clawhub install steipete/openai-whisper-api

Install ffmpeg on your system

Set OPENAI_API_KEY in .env

Install skill

Use /whisper-api <file> for chunked long-form transcription

Troubleshooting openclaw whisper api long audio

1. Requires ffmpeg for chunking — missing binary causes silent failure

2. Overlapping chunk windows needed for accuracy — don't split at exact 25MB

Compatibility & status

Works with: Linux, macOS; OpenClaw ≥1.0; ffmpeg required intermediate Last updated: Oct 2025 ★ 145 on GitHub MIT

Official docs →

View on GitHub →

Related — more like openclaw whisper api long audio

More by steipete

Long recordings fail silently without proper chunking. Install the openclaw whisper api long audio skill before your next production run.

Get it on GitHub →