AutoShow
AutoShow is a free, open-source application for processing audio and video with AI transcription, summaries, speech, images, and music.
What AutoShow is
AutoShow is a free, open-source application for processing audio and video with AI transcription, summaries, speech, images, and music. It can extract audio from YouTube videos and streaming platforms, or take direct file uploads. Transcription options include Groq Whisper, DeepInfra, YouTube Captions, and HappyScribe, with automatic speaker diarization. OpenAI GPT, Claude, and Google Gemini can create episode descriptions, summaries, and chapters. AutoShow can also produce text-to-speech with OpenAI or ElevenLabs voices, generate cover images, and create background music with ElevenLabs.
The project supports a web interface, API, self-hosting, and Docker deployment; the documented local interface defaults to localhost:4321. Its API documentation covers health checks, jobs, models, processing, uploads, and media processing. For production jobs, source URLs are checked against a public-network SSRF guard and estimated USD costs are calculated before creation. The README lists structured production JSON logs with request IDs and severity levels, plus optional HTTP log forwarding. Resend email and Google Drive checks are optional, but Google Drive OAuth client setup remains manual. The package metadata identifies the license as MIT.
Good
- Supports transcription with automatic speaker diarization.
- Generates descriptions, summaries, and chapters.
- Offers speech, cover image, and music generation.
- Supports Docker deployment and a documented API.
Watch out
- Google Drive OAuth client setup is manual.
- Docker Compose setup requires a root .env file with required settings.
Who it suits
AutoShow suits people who want a self-hosted or web-based workflow for turning audio and video into transcripts, summaries, chapters, and generated media. It may also fit teams that want API access and Docker deployment.
Verdict
AutoShow brings transcription, summarization, and generated media into one audio and video processing workflow. Its manual Google Drive OAuth setup and documented deployment configuration are worth considering.
The facts
Each one read from AutoShow's own pages, with the date it was checked.
What it does
- API
- The project documents an HTTP API with its local base URL at http://localhost:4321/api and says to use the deployment domain in production.checked 8 Oct 2001
- Configuration
- The configuration guide documents optional Resend email and Google Drive setup checks.checked 8 Oct 2001
- Deployment
- The README documents Docker deployment and a web interface available at the local URL printed by the CLI, defaulting to localhost:4321.checked 8 Oct 2001
- Docker requirements
- The Docker guide says the repository-root .env file must include required email, provider-key, and S3 settings for the documented Compose commands.checked 8 Oct 2001
- Generated media
- The README describes converting summaries to speech with OpenAI or ElevenLabs voices, creating cover images from AI prompts, and generating background music with ElevenLabs.checked 8 Oct 2001
- Google Drive setup
- The guide says Google Drive OAuth client setup remains manual because the web client flow is not reliably covered by gcloud.checked 8 Oct 2001
- Inputs
- It can extract audio from YouTube videos, streaming platforms, and direct file uploads.checked 8 Oct 2001
- Integrations
- The model configuration documentation lists integrations including OpenAI, Anthropic, Google Gemini, Groq, ElevenLabs, AssemblyAI, Deepgram, HappyScribe, Mistral, Runway, and YouTube Captions.checked 4 Oct 2001
- License
- The package metadata identifies the project author as Anthony Campolo and its license as MIT.checked 4 Oct 2001
- Logging
- The README lists structured production JSON logs with request IDs and severity levels, plus optional HTTP log drain forwarding.checked 4 Oct 2001
- Proxy configuration
- The configuration guide documents an option to trust forwarded proxy IP headers and a shared token required before those headers are trusted.checked 8 Oct 2001
- Purpose
- AutoShow is a full-stack application for processing video and audio with AI transcription, summarization, text-to-speech, image generation, and music generation.checked 8 Oct 2001
- Security
- The model configuration documentation says production model execution uses source URL validation against a public-network SSRF guard and USD cost estimation before job creation.checked 4 Oct 2001
- Summarization
- OpenAI GPT, Claude, and Google Gemini models can generate episode descriptions, summaries, and chapters.checked 8 Oct 2001
- Transcription
- Listed transcription options include Groq Whisper, DeepInfra, YouTube Captions, and HappyScribe, with automatic speaker diarization.checked 8 Oct 2001
Money
- Costs
- The README links to documentation covering provider cost estimates and runtime totals.checked 8 Oct 2001
The company
- Maker
- The repository is hosted under the GitHub organization autoshow; the pages reviewed do not state the maker's headquarters or founding year.checked 8 Oct 2001
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