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transcribe Skill

AI Agent SkillPythonOpen source

Transcribe audio files to text with optional diarization and known-speaker hints. Use when a user asks to transcribe speech from audio/video, extract text from recordings, or label speakers in interviews or meetings. Published by openai in skills.

What is transcribe Skill?

Transcribe audio files to text with optional diarization and known-speaker hints. Use when a user asks to transcribe speech from audio/video, extract text from recordings, or label speakers in interviews or meetings. Published by openai in skills. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.

Trust signal
95/100
Maintenance signal
90/100
Adoption signal
100/100

Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement.

Key capabilities

  • Includes SKILL.md support
  • Reusable instructions support
  • Design and media
  • Design and media use cases

Technical details

Copy skill directory
  • Install or run with Copy skill directory

When to use transcribe Skill

  • Use it for design and media.

Built with

PythonCopy skill directory

Editorial notes

Source

  • Creator: openai
  • Repository: openai/skills
  • Skill file: skills/.curated/transcribe/SKILL.md

What it does

Transcribe audio files to text with optional diarization and known-speaker hints. Use when a user asks to transcribe speech from audio/video, extract text from recordings, or label speakers in interviews or meetings.

Skill instructions

Audio Transcribe Transcribe audio using OpenAI, with optional speaker diarization when requested. Prefer the bundled CLI for deterministic, repeatable runs. Workflow 1. Collect inputs: audio file path(s), desired response format (text/json/diarizedjson), optional language hint, and any known speaker references. 2. Verify OPENAIAPIKEY is set. If missing, ask the user to set it locally (do not ask them to paste the key). 3. Run the bundled transcribediarize.py CLI with sensible defaults (fast text transcription). 4. Validate the output: transcription quality, speaker labels, and segment boundaries; iterate with a single targeted change if needed. 5. Save outputs under output/transcribe/ when working in this repo. Decision rules - Default to gpt-4o-mini-transcribe with --response-format text for fast transcription. - If the user wants speaker labels or diarization, use --model gpt-4o-transcribe-diarize --response-format diarizedjson. - If audio is longer than ~30 seconds, keep --chunking-

Explore related resources

Frequently asked questions

What is transcribe?

transcribe is a open-source AI agent skill with Copy skill directory. Transcribe audio files to text with optional diarization and known-speaker hints. Use when a user asks to transcribe speech from audio/video, extract text from recordings, or label speakers in interviews or.

Who is transcribe best for?

transcribe is best for reusing agent instructions, scripts, and references, design and media workflows.

How do I install transcribe?

Install or run transcribe using Copy skill directory. Check transcribe for the latest setup command.

Is transcribe actively maintained?

transcribe may need a closer maintenance check before production use.

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Last commit
9 days ago
Repository age
8 months
License
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