Audio & Video to Text (SRT, VTT, RAG chunks)

Registre officiel Médias et design

Transcribes audio and video files to text, SRT, VTT and timestamped chunks for RAG.

Installation

Ajoutez ceci à la configuration MCP de votre client (Claude Desktop : claude_desktop_config.json ; Cursor : .cursor/mcp.json ; VS Code et les autres utilisent la même forme « mcpServers »).

Remote (streamable-http)
Claude Code
claude mcp add --transport http audio-video-to-text-srt-vtt-rag-chunks 'https://mcp.apify.com/?tools=lif_manager/audio-video-transcription' --header 'Authorization: <Bearer token from your Apify account (Console > Settings > API & Integrations). Usage is billed per event by Apify.>'
Configuration JSON (Claude Desktop, Cursor, VS Code)
{
    "mcpServers": {
        "audio-video-to-text-srt-vtt-rag-chunks": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=lif_manager/audio-video-transcription",
            "headers": {
                "Authorization": "<Bearer token from your Apify account (Console > Settings > API & Integrations). Usage is billed per event by Apify.>"
            }
        }
    }
}

Documentation

Tirée du README du projet sur GitHub, actualisée chaque semaine. Les liens ouvrent GitHub.

Sommaire
  1. LIF Tools
  2. Install
  3. Limits
  4. Privacy
  5. License

LIF Tools

Three pay-per-use tools for AI agents, plus a free skill. They run on Apify: you bring your own Apify token and Apify bills each run. There is no subscription.

ToolWhat it returnsPrice
Argentine invoices (ARCA/AFIP) to JSONValidated JSON from a PDF or image: type, number, date, CUITs, net, VAT, total, CAE. It checks the CUIT check digit, the totals and the QR against the text.USD 0.01 per invoice
Documents to Markdown for RAGMarkdown, tables and chunks ready for a vector index, from PDF, DOCX, HTML and scans (OCR).USD 0.001 per page, USD 0.003 per OCR page
Audio and video transcriptionText with timestamps, SRT, VTT, Markdown and timed chunks. Spanish first, many languages.USD 0.010 per minute (USD 0.004 fast mode)

The comprobantes-ar skill (Spanish) validates Argentine invoices locally with no network calls, using only the Python standard library.

Install

Claude Code

/plugin marketplace add BrunenJere/lif-tools
/plugin install lif-tools@lif

Claude Code asks for your Apify token when you enable the plugin and keeps it in secure storage.

Antigravity: install LIF Tools from the plugin marketplace, or from this repository. It asks for APIFY_TOKEN during setup.

Any MCP client: add the remote server https://mcp.apify.com/?tools=lif_manager/facturas-arca-json,lif_manager/documents-to-markdown-rag,lif_manager/audio-video-transcription with the header Authorization: Bearer <your Apify token>. The servers are also in the official MCP Registry as io.github.BrunenJere/*.

Limits

  • The invoice tool does not query ARCA. Verifying an invoice officially needs the issuer's certificate.
  • Uncommon invoice layouts may leave fields as no_disponible. The tool reports this and does not guess.
  • None of the tools give accounting or legal advice.
  • Files you send are processed in your Apify run and stored under your Apify account's retention settings. LIF does not keep them.

Privacy

See PRIVACY.md.

License

MIT for the files in this repository. The Apify tools are services billed per use.

Questions fréquentes

Qu'est-ce que Audio & Video to Text (SRT, VTT, RAG chunks) ?

Transcribes audio and video files to text, SRT, VTT and timestamped chunks for RAG.

Comment installer Audio & Video to Text (SRT, VTT, RAG chunks) ?

Il fonctionne comme serveur distant. Dans Claude Code : claude mcp add --transport http audio-video-to-text-srt-vtt-rag-chunks 'https://mcp.apify.com/?tools=lif_manager/audio-video-transcription' --header 'Authorization: <Bearer token from your Apify account (Console > Settings > API & Integrations). Usage is billed per event by Apify.>'. Pour les autres clients, collez la configuration JSON de cette page dans leurs réglages MCP.

Faut-il une clé API pour Audio & Video to Text (SRT, VTT, RAG chunks) ?

Oui. Il attend Authorization, à renseigner dans sa configuration.

Audio & Video to Text (SRT, VTT, RAG chunks) est-il open source ?

Oui. Son code est sur GitHub sous licence MIT.

Qui maintient Audio & Video to Text (SRT, VTT, RAG chunks) ?

Il est publié par BrunenJere. AI.tn le référence sans le maintenir ni le recommander.

Issu du registre MCP officiel. Être listé n'est pas une recommandation : vérifiez le code et les permissions d'un serveur avant de lui donner accès à vos données.