transcription

Transcribes audio and video files through case.dev with speaker diarization. Supports MP3, WAV, M4A, FLAC, OGG, WEBM, MP4 up to 5GB. Use when the user mentions "transcribe", "transcription", "deposition recording", "hearing audio", "speaker labels", or needs to convert audio/video to text.

11 stars

Best use case

transcription is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Transcribes audio and video files through case.dev with speaker diarization. Supports MP3, WAV, M4A, FLAC, OGG, WEBM, MP4 up to 5GB. Use when the user mentions "transcribe", "transcription", "deposition recording", "hearing audio", "speaker labels", or needs to convert audio/video to text.

Teams using transcription should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/transcription/SKILL.md --create-dirs "https://raw.githubusercontent.com/CaseMark/skills/main/skills/casedev/transcription/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/transcription/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How transcription Compares

Feature / AgenttranscriptionStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Transcribes audio and video files through case.dev with speaker diarization. Supports MP3, WAV, M4A, FLAC, OGG, WEBM, MP4 up to 5GB. Use when the user mentions "transcribe", "transcription", "deposition recording", "hearing audio", "speaker labels", or needs to convert audio/video to text.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# case.dev Transcription

Audio and video transcription with speaker diarization, ideal for depositions, hearings, and recorded proceedings. Supports MP3, WAV, M4A, FLAC, OGG, WEBM, and MP4 up to 5GB.

Requires the `casedev` CLI. See `setup` skill for installation and auth.

## Start a Transcription

The source file must be in a vault:

```bash
casedev transcribe run --vault VAULT_ID --object OBJECT_ID --json
```

Flags: `--speaker-labels` (diarization), `--speakers-expected N`, `--language`, `--format`, `--auto-highlights`.

## Check Status

```bash
casedev transcribe status TRANSCRIPTION_ID --json
```

Statuses: `queued` -> `processing` -> `completed` or `failed`.

## Get Result

```bash
casedev transcribe result TRANSCRIPTION_ID --json
```

Fetches transcript text. Fails if the job is not yet completed.

## Watch Until Complete

```bash
casedev transcribe watch TRANSCRIPTION_ID --json
```

Flags: `--interval` (default: 3s), `--timeout` (default: 900s).

## Common Workflow

```bash
# 1. Upload to vault
casedev vault object upload ./deposition-recording.mp3 --vault VAULT_ID --json

# 2. Start transcription with speaker labels
casedev transcribe run --vault VAULT_ID --object OBJECT_ID --speaker-labels --speakers-expected 4 --json

# 3. Watch until complete
casedev transcribe watch TRANSCRIPTION_ID --json
```

## Troubleshooting

**"Invalid file type for transcribe"**: Only audio/video MIME types accepted. Check with `casedev vault object list`.

**Transcription failed**: Check `casedev transcribe status TRANSCRIPTION_ID --json` for error details. Common causes: corrupted file, unsupported codec, file too large.

**Long audio (2+ hours)**: Increase timeout with `--timeout 3600`.

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