PolyScribe

PolyScribe is a fast, local-first CLI for transcribing audio/video and merging existing JSON transcripts. It uses whisper-rs under the hood, can discover and download Whisper models automatically, and supports CPU and optional GPU backends (CUDA, ROCm/HIP, Vulkan).

Key features

• Transcribe audio and common video files using ffmpeg for audio extraction.
• Merge multiple JSON transcripts, or merge and also keep per-file outputs.
• Model management: interactive downloader and non-interactive updater with hash verification.
• GPU backend selection at runtime; auto-detects available accelerators.
• Clean outputs (JSON and SRT), speaker naming prompts, and useful logging controls.

Prerequisites

• Rust toolchain (rustup recommended)
• ffmpeg available on PATH
• Optional for GPU acceleration at runtime: CUDA, ROCm/HIP, or Vulkan drivers (match your build features)

Installation

• Build from source (CPU-only by default):
  • rustup install stable
  • rustup default stable
  • cargo build --release
• Binary path: ./target/release/polyscribe
• GPU builds (optional): build with features
  • CUDA: cargo build --release --features gpu-cuda
  • HIP: cargo build --release --features gpu-hip
  • Vulkan: cargo build --release --features gpu-vulkan

Quickstart

1. Download a model (first run can prompt you):

• ./target/release/polyscribe --download-models

2. Transcribe a file:

• ./target/release/polyscribe -v -o output my_audio.mp3 This writes JSON and SRT into the output directory with a date prefix.

Shell completions and man page

• Completions: ./target/release/polyscribe completions <bash|zsh|fish|powershell|elvish> > polyscribe.
  • Then install into your shell’s completion directory.
• Man page: ./target/release/polyscribe man > polyscribe.1 (then copy to your manpath)

Model locations

• Development (debug builds): ./models next to the project.
• Packaged/release builds: $XDG_DATA_HOME/polyscribe/models or ~/.local/share/polyscribe/models.
• Override via env var: POLYSCRIBE_MODELS_DIR=/path/to/models.
• Force a specific model file via env var: WHISPER_MODEL=/path/to/model.bin.

Most-used CLI flags

• -o, --output FILE_OR_DIR: Output path base (date prefix added). If omitted, JSON prints to stdout.
• -m, --merge: Merge all inputs into one output; otherwise one output per input.
• --merge-and-separate: Write both merged output and separate per-input outputs (requires -o dir).
• --set-speaker-names: Prompt for a speaker label per input file.
• --update-models: Verify/update local models by size/hash against the upstream manifest.
• --download-models: Interactive model list + multi-select download.
• --language LANG: Language code hint (e.g., en, de). English-only models reject non-en hints.
• --gpu-backend [auto|cpu|cuda|hip|vulkan]: Select backend (auto by default).
• --gpu-layers N: Offload N layers to GPU when supported.
• -v/--verbose (repeatable): Increase log verbosity. -vv shows very detailed logs.
• -q/--quiet: Suppress non-error logs (stderr); does not silence stdout results.
• --no-interaction: Never prompt; suitable for CI.

Minimal usage examples

• Transcribe an audio file to JSON/SRT:
  • ./target/release/polyscribe -o output samples/podcast_clip.mp3
• Merge multiple transcripts into one:
  • ./target/release/polyscribe -m -o output merged input/a.json input/b.json
• Update local models non-interactively (good for CI):
  • ./target/release/polyscribe --update-models --no-interaction -q

Troubleshooting & docs

• docs/faq.md – common issues and solutions (missing ffmpeg, GPU selection, model paths)
• docs/usage.md – complete CLI reference and workflows
• docs/development.md – build, run, and contribute locally
• docs/design.md – architecture overview and decisions
• docs/release-packaging.md – packaging notes for distributions
• docs/ci.md – minimal CI checklist and job outline
• CONTRIBUTING.md – PR checklist and workflow

CI status: [CI badge placeholder]

Examples See the examples/ directory for copy-paste scripts:

• examples/transcribe_file.sh
• examples/update_models.sh
• examples/download_models_interactive.sh

License

This project is licensed under the MIT License — see the LICENSE file for details.