"Information about extraction techniques or processes" matching MCP servers:

Enables video text extraction using multiple speech recognition providers including local Whisper, JianYing/CapCut, and Bilibili Cut services. Supports video downloading, audio extraction, and automatic speech-to-text transcription with configurable providers.

Enables detection of AI-generated content in images, videos, audio, and text via the AI or Not API. Supports media analysis tools for deepfakes, synthetic voices, and AI-written text.

MCP server for audio transcription using OpenRouter models, supporting verbatim, cleaned, and custom transcription modes.

An MCP server that enables analysis of local media files, including video, audio, and documents, by uploading them to EnriProxy for server-side extraction. It supports various complex file formats and provides structured model analysis for media types often unsupported by standard MCP clients.

Enables transcription of videos and audio from 1000+ platforms (YouTube, Bilibili, TikTok, etc.) using subtitle extraction first, then local Whisper transcription, with support for long videos, async tasks, and Chinese ASR optimization.

Enables local media processing (video/audio) using FFmpeg and FFprobe, allowing frame extraction, audio conversion, and metadata retrieval through natural language.

Enables controlling a Dirtywave M8 over USB by reading its screen as text, pressing buttons, playing notes, and retrieving system information through MCP tools.

Enables transcription, summarization, and action item extraction from audio files on your Mac using MacWhisper and Claude Desktop, all locally without any cloud APIs.

Enables video and audio processing through FFmpeg, supporting format conversion, compression, trimming, audio extraction, frame extraction, video merging, and subtitle burning through natural language commands.

Provides video manipulation via ffmpeg (frame extraction, format conversion, trimming, audio adjustments, filters, and subtitle handling) without requiring an external API key.

Enables comprehensive audio file analysis and metadata extraction with specialized game audio development features, supporting batch processing of multiple formats and providing platform-specific optimization recommendations.

An MCP server for OBS Studio that subscribes to events and maintains a history, enabling queries about audio levels, source states, and past actions rather than only one-shot requests.

Enables Claude to build and edit multitrack sessions from audio files and synth or drum notes, apply effects, busses and fades, and render mixdowns with loudness measurement, stems, MIDI and session files. It also processes and converts existing audio, and reports format, loudness and waveform details for files or sessions.

Enables comprehensive analysis of MIDI SMF files including loading, parsing, track analysis, event extraction with filtering, and detailed file summaries. Supports memory management for efficient repeated access to loaded MIDI files.

Enables comprehensive video and audio processing using FFmpeg, supporting tasks like metadata extraction, clipping, scaling, and adding transitions or overlays. It provides a high-performance interface for building media processing microservices via FastMCP.

A lightweight server that exposes FFmpeg's video processing capabilities to AI assistants through the Model Context Protocol (MCP), supporting operations like video format conversion, audio extraction, and adding watermarks.

A powerful MCP tool for parsing and manipulating MIDI files that allows users to read, analyze, and modify MIDI files through natural language commands, supporting operations like reading file information, modifying tracks, adding notes, and setting tempo.

Provides AI-powered audio generation and processing through the MusicGPT API, enabling music creation, voice conversion, audio manipulation, stem extraction, and audio analysis capabilities.

An MCP server for parsing and analyzing Ableton Live .als project files offline, enabling queries about tempo, tracks, clips, and MIDI data through tools like als_summary and als_list_tracks.

Enables searching and downloading audio samples from Freesound using keywords, filters, and sound IDs. It provides detailed sound metadata including duration, license information, and preview URLs.

A Model Context Protocol server that integrates with VOICEVOX engine to provide text-to-speech synthesis and speaker information retrieval, allowing users to generate and play voice audio from text.

Provides local, offline transcription, keyframe extraction, OCR, and pre-publish review of audio, video, and image files, enabling AI agents to see and hear media without cloud or API keys.

Provides local MCP tools to search and retrieve CC0 sound effects by keyword, category, duration, or ID, along with metadata, previews, and WAV/MP3 download URLs.

Exposes the program's push-to-talk transcript history to MCP clients such as Claude Desktop and Claude Code, letting them fetch recent or latest transcripts, query results by time window, range, or ISO timestamp, search text, look up records by id, and read counts, runtime status, or clear history. Each result carries millisecond-precision hold start/end timestamps alongside the transcribed text.

MCP server enabling interaction with Twitter, YouTube, Instagram, and video processing via 31 tools, with local Whisper transcription and frame extraction for visual verification.

An MCP server for comprehensive video analysis — AI-powered transcription, visual frame analysis, and metadata extraction from 1000+ platforms.

Enables MCP clients to speak text aloud on macOS using the built-in say command, with no external speech API or keys, and to list available voices and control rate or voice selection. Requests from multiple client threads share a single FIFO playback worker, so speech plays one item at a time and can be inspected, stopped, or muted in hold or discard mode.

Transcribes YouTube videos or audio files to Markdown, plain-text, and Word documents.

Enables Claude Code and Codex to play spoken alerts on a Mac when a task finishes or user attention is needed, using built-in or custom voice lines while staying quiet during keyboard use, calls, Focus modes, or configured locations.

Enables AI agents to submit and manage durable long-form audio transcription jobs, and read or export structured transcripts via MCP tools.