Video Summarizer

Spec sheet

What it does

Summarize is a local-first, self-hosted tool for summarizing videos and other sources with an OpenAI-compatible LLM.Read 9 Oct 2026 · summarize.martino.im

Maker

The maker's personal site identifies Martino Piaggi as a computer science engineer who primarily writes open-source code.Read 9 Oct 2026 · martino.im

Bring your own key

Users supply at least one LLM API key in a local .env file; configuration is stored in summarizer.yaml and .env.Read 9 Oct 2026 · summarize.martino.im

Caching

Transcript caching lets users rerun a video with different styles or providers without transcribing it again.Read 8 Oct 2026 · summarize.martino.im

Input sources

It supports YouTube, Instagram, TikTok, Twitter/X, Reddit, Facebook, Google Drive, Dropbox, and local files.Read 8 Oct 2026 · summarize.martino.im

Integration

The Raycast extension can send a video URL to the local Summarize API for summarization.Read 9 Oct 2026 · summarize.martino.im

Interfaces

The maker documents a CLI, Streamlit GUI, HTTP API, Docker deployment, Raycast extension, and agent skill.Read 9 Oct 2026 · summarize.martino.im

LLM integrations

It works with OpenAI-compatible endpoints, with examples including OpenAI, Groq, Gemini, Ollama, OpenRouter, NVIDIA, and Perplexity.Read 8 Oct 2026 · summarize.martino.im

LLM providers

The maker lists OpenAI, Groq, Gemini, Ollama, OpenRouter, NVIDIA, Perplexity, LiteLLM, and any OpenAI-compatible endpoint.Read 9 Oct 2026 · summarize.martino.im

Notable sharing limit

Shared summaries are public pages, according to the sharing documentation.Read 8 Oct 2026 · summarize.martino.im

Prefiltering

Optional JEV prefiltering selects transcript passages for inclusion or exclusion before sending text to the summary model.Read 9 Oct 2026 · summarize.martino.im

Processing modes

It offers transcript based summarization and a visual mode that sends video directly to a vision-capable model without transcription.Read 9 Oct 2026 · summarize.martino.im

Requirements

The documented requirements include Python 3.7 or later, ffmpeg on PATH, and at least one LLM API key.Read 9 Oct 2026 · summarize.martino.im

Security and compliance

The maker describes the project as self-hosted and local-first and instructs users to keep API keys in .env; the opened maker pages state no security certification or compliance standard.Read 9 Oct 2026 · summarize.martino.im

Security and data handling

The project describes itself as local-first, and users configure provider API keys in a local .env file.Read 8 Oct 2026 · summarize.martino.im

Sharing

The webapp can publish a summary as a public rendered page through Tinypaste without an account or token.Read 8 Oct 2026 · summarize.martino.im

Summary formats

Available summary styles include Q&A, distillation, fact-checking, tutorials, Mermaid diagrams, and essays, with custom styles added through prompts.json.Read 8 Oct 2026 · summarize.martino.im

Summary styles

Built-in styles include Q&A, distillation, fact-checking, tutorials, Mermaid diagrams, and essays, with custom prompts supported through prompts.json.Read 9 Oct 2026 · summarize.martino.im

Supported sources

The maker lists YouTube, Instagram, TikTok, Twitter/X, Reddit, Facebook, Google Drive, Dropbox, and local files as supported sources.Read 9 Oct 2026 · summarize.martino.im

Transcript cache

A transcript cache allows rerunning the same source with different styles, providers, or languages without transcribing it again; disk persistence can be enabled.Read 9 Oct 2026 · summarize.martino.im

Transcript workflow

The default workflow uses captions when available or transcribes audio with Whisper, then summarizes the transcript with an LLM.Read 8 Oct 2026 · summarize.martino.im

Visual mode

Visual mode sends video, including visible content and audio, to a video-capable model without transcribing first.Read 8 Oct 2026 · summarize.martino.im

Visual mode limits

The documented default visual limits are 120 seconds per request and 100 MB per file, with MP4, MPEG, MOV, and WEBM listed as supported formats.Read 8 Oct 2026 · summarize.martino.im

Webapp history

The webapp keeps the last 10 summaries in memory by default, and that history is lost on page refresh unless disk persistence is configured.Read 9 Oct 2026 · summarize.martino.im

Who it is for

The maker describes use cases including condensing podcasts, lectures, and conference talks, and extracting a key idea from social videos.Read 8 Oct 2026 · martino.im

Where Specifiction places it

• AI Video Summarizers#20 of 257.4