Video Transcription
SkillFiles & storageTranscribe video and audio files to SRT subtitles with speaker diarization using the Soniox (default) or AssemblyAI API. Use when the user wants to transcribe meetings, videos, or audio files. Supports MKV, MP4, MOV, M4A, MP3. Triggers on "/transcribe", "transcribe my meetings", "transcribe videos in ~/Movies", or any request to convert audio/video to text.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Video Transcription skill
What this skill tells your AI
The instructions your AI receives, as published by blackbelttechnology/pi-agent-dashboard in packages/video-transcription/.pi/skills/video-transcription/SKILL.md and read by ahel’s review.
Transcribe video and audio files in-place to SRT subtitle format with speaker
diarization. Backed by the pi-transcribe CLI (a TypeScript port of the
original standalone skill — no Python).
Two backends. Soniox is the default and writes <name>.srt. AssemblyAI is
opt-in via TRANSCRIBE_BACKEND=assemblyai, uses the EU endpoint, and writes
<name>.diarize.srt — a different suffix, so both can transcribe the same file
and you can compare diarization side by side.
TRANSCRIBE_BACKEND=both runs them in one pass: audio is extracted once and
fed to both APIs, producing <name>.srt and <name>.diarize.srt together. Use
this when the user asks to compare diarization or wants both transcripts.
Usage
Run the pi-transcribe bin, optionally passing a directory or file paths.
Output .mp3 (extracted audio) and .srt (subtitles) files are placed
alongside the source files.
pi-transcribe [directory | file ...]
- No argument: scans
~/Movies(default) - Single directory: scans the specified directory (e.g. a Google Recorder
.m4aexport folder) - One or more file paths: transcribes exactly those files
Examples:
/transcribe— transcribe all untranscribed files in~/Movies/transcribe /path/to/recordings— transcribe files in a specific directorypi-transcribe "~/Movies/May 28 at 4-04 PM.m4a" "~/Movies/Feb 2 at 5-05 PM.m4a"— transcribe specific filesTRANSCRIBE_BACKEND=assemblyai pi-transcribe ~/Movies— use AssemblyAI instead of Soniox (writes.diarize.srt, needsASSEMBLY_AI_KEY)TRANSCRIBE_BACKEND=both pi-transcribe ~/Movies— run BOTH backends in one pass (writes.srt+.diarize.srt; needs both keys)TRANSCRIBE_BACKEND=assemblyai TRANSCRIBE_LANGUAGE=hu pi-transcribe file.m4a— pin Hungarian instead of auto-detectingMAX_CHUNK_HOURS=4 pi-transcribe ~/Movies— change the long-recording chunk size (default 4.5h Soniox / 9h AssemblyAI)TRANSCRIBE_CONCURRENCY=4 pi-transcribe ~/Movies— change how many files transcribe in parallel (default 8)
Parallel processing
Files transcribe through a bounded worker pool: up to TRANSCRIBE_CONCURRENCY
files (default 8) are in flight at once, overlapping the Soniox wait that
dominates each file's wall-clock time. Files are dispatched oldest-first but may
complete in any order. Set TRANSCRIBE_CONCURRENCY=1 for serial, deterministic
behavior. The value is clamped to 1–100 (100 = the Soniox pending-job cap).
Execution
- Run
pi-transcribe, passing the user's directory/file arguments (if any) - The bin handles everything: file discovery, audio extraction, API
transcription, idempotency (skips files that already have a sibling
.srt) - Present the bin's summary output to the user (total found, already transcribed, newly transcribed, failed)
- If there are failures, report which files failed and the error messages
Long recordings
Each provider enforces a HARD per-request limit on audio duration,
independent of file size: Soniox 18000 s / 5 h, AssemblyAI 10 h. Recordings
longer than the limit are automatically split into MAX_CHUNK_HOURS-sized
chunks (default 4.5 h on Soniox, 9 h on AssemblyAI), transcribed separately, and
merged into a single SRT with correct absolute timestamps — full coverage, no
truncation. Override the chunk size with the MAX_CHUNK_HOURS env var.
Note: the limit is on duration, not megabytes — a long low-bitrate recording can be small in size yet still exceed the cap, so the guard probes duration via ffprobe.
Prerequisites
- ffmpeg (with ffprobe) — declared in this package's
pi.toolsmanifest and resolved through the dashboard tool registry (PATH or the static npm packages:ffmpeg-staticfor ffmpeg,@ffprobe-installer/ffprobefor ffprobe — both optionalDependencies here). When absent, video files are skipped with a warning; audio-only files still process.pi-dashboard-ensure <package-root>/package.jsonreports both. - The selected backend's API key —
SONIOX_API_KEYorASSEMBLY_AI_KEY, both declared asenvprobes inpi.tools. Same resolver: environment first, then an optional gitignored.env(current directory, then the skill dir). Only the active backend's key is required. No secret ships in the package; the bin fails fast with a clear message if the key is unresolved.
Environment overrides
| Variable | Default | Meaning |
|---|---|---|
TRANSCRIBE_BACKEND | soniox | soniox, assemblyai, both/all, or a comma list. Unknown values fall back to soniox. |
SONIOX_API_KEY | (required for soniox) | Soniox API key. |
ASSEMBLY_AI_KEY | (required for assemblyai) | AssemblyAI API key. |
MAX_CHUNK_HOURS | 4.5 / 9 | Chunk size for long recordings; default follows the backend's duration cap. |
MAX_AUDIO_MB | 200 | Reserved size guard; 0 disables. |
TRANSCRIBE_CONCURRENCY | 8 | Files transcribed in parallel. Clamped to 1–100; 1 = serial. |
TRANSCRIBE_SRT_SUFFIX | per backend | Override the sibling subtitle suffix (.srt / .diarize.srt). |
TRANSCRIBE_LANGUAGE | (unset) | AssemblyAI only: pin a language (e.g. hu) instead of auto-detecting. |
TRANSCRIBE_MAX_SPEAKERS | (unset) | AssemblyAI only: hard cap on speaker labels. |
AssemblyAI backend notes
EU endpoint (api.eu.assemblyai.com) for data residency. Runs
speech_models: ["universal-3-5-pro", "universal-2"] with speaker_labels and
language_detection on: universal-3-5-pro natively covers 18 languages and
anything outside that set (Hungarian included) automatically falls back to
universal-2 (99 languages). Speaker letters A/B/C are normalised to
Speaker 1/Speaker 2/Speaker 3, so the SRT format is identical to Soniox's.
Signals
- GitHub stars
- 283
- Forks
- 41
- Last commit
- Sep 2026
Advanced
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video-transcription- Source
- github.com/blackbelttechnology/pi-agent-dashboard