"Extracting Orders from PDF Files" matching MCP servers:

Official MCP server for Rendobar. Lets AI agents run serverless media processing and upload local files.

MCP server for SpeechWeave transcription, enabling AI assistants to transcribe local files and URLs via wait-first or async tools.

Generates room impulse responses as WAV files from natural language descriptions, enabling agents to create realistic or arbitrary reverb for audio production.

Enables AI agents to perform local video, audio, and file operations inside an isolated workspace, including cutting/concat videos, extracting audio, transcribing, and managing files, with typed responses and background job support.

Enables MCP-capable assistants to transcribe local audio files or URLs and perform speaker diarization for Spanish and Portuguese audio, with options for speaker count hints, domain prompts, and transcript retrieval in multiple formats.

Enables audio transcription to multi-instrument MIDI files using MuScriptor, supporting local files and HTTPS URLs with safety controls.

Local, private audio transcription MCP server enabling AI agents to transcribe audio files entirely on-device without uploading data.

Enables Claude Desktop to generate Gemini text-to-speech audio, save .wav files locally, and manage generated audio files through MCP tools.

Enables AI assistants to transcribe audio and video from URLs or local files with high accuracy, speaker diarization, 119 languages, and word-level timestamps, while also supporting transcription management and caption export in SRT, WebVTT, or plain text.

Remove vocals, extract instrumentals, and split any song into up to six stems — directly from Claude Desktop, Cursor, or any MCP client. Supports local audio files, YouTube URLs, and SoundCloud track

Provides local audio transcription using whisper.cpp, supporting multiple models and audio formats. Enables transcription of audio files via MCP tools with optional timestamps.

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 users to generate ready-to-load Xfer Serum 1 presets from plain-language sound descriptions, and to revise existing presets from feedback. It exposes design_patch and revise_patch tools to any MCP-compatible client, returning validated patch recipes alongside the preset files.

Enables LLMs to perform FFmpeg operations like clipping, merging, extracting audio, adding subtitles, and transcoding videos via a set of tools exposed as an MCP server.

Enables MCP clients to create, read, write, inspect, and validate VCV Rack 2 .vcv patch files on disk.

Enables local analysis of PCM WAV files to produce bounded audio observations such as activity segments, clipping indicators, duration, sample rate, peak, and RMS level without uploading recordings.

MCP server for extracting transcripts from Instagram videos using AssemblyAI, enabling timestamped transcriptions with speaker labels through natural language.

MCP server that transcribes songs into multi-track General MIDI files, identifying instruments and structuring tracks. Accepts audio files and manages transcription jobs with queue and ETA.

Enables Claude to analyze short-form video ads by extracting frames, audio, and transcripts, providing visual contact sheets, audio profiles, and YAMNet audio-event tags via MCP tools.

Enables AI to analyze audio files for loudness, voice quality, and more via the AudioLab API, supporting both public URLs and local files.

Enables high-quality transcription and subtitle generation from local media files or URLs using Faster Whisper on local hardware. It supports automatic language detection and integration with MCP clients for seamless speech-to-text workflows.

Enables AI clients to generate and edit MuseScore scores from compact text notation and export them as mscz, PDF, PNG, SVG, MIDI, or MP3 without opening the MuseScore GUI.

MCP server integrating VolcEngine for automatic speech recognition (ASR) and text-to-speech (TTS), converting audio to text or text to audio files.

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 an AI agent to compose chiptune music by directly reading and writing Lovely Composer's .jsonl project files, including melodies, bass, drums, chords, tempo, and loop points.

Transcribes videos from 1000+ platforms (YouTube, TikTok, Vimeo, etc.) and local video files using OpenAI's Whisper model, with support for 90+ languages and multiple output formats.

Inspect local video and audio files with ffprobe, returning structured metadata such as format, duration, bitrate, and stream info.

Enables transcription of audio and video files using mocoVoice API, allowing users to start transcription jobs and retrieve results directly from Claude Desktop.

Downloads audio from YouTube, analyzes with Essentia for BPM, mood, energy, spectrograms, and fetches synced lyrics from LRCLIB.

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.