Speakr transforms audio recordings into organized, searchable, AI-enhanced notes with speaker recognition that identifies who said what across your entire recording library. The Python/Flask backend with Vue.js 3 and Tailwind CSS frontend deploys via Docker on port 8899, offering multiple transcription engines through auto-detected connectors: WhisperX for local processing with speaker diarization and voice embeddings, OpenAI Whisper and GPT-4o-transcribe, Mistral Voxtral for cloud diarization, AssemblyAI for multi-hour files, and any custom ASR webservice. Speaker voice profiles use embedding comparison to recognize individuals across different recordings automatically, while custom vocabulary biases the transcriber toward domain-specific jargon. The AI layer goes well beyond transcription: customizable summaries with per-recording, per-tag, and per-folder prompt templates; event extraction surfacing action items and calendar events; per-recording chat with streaming responses; and Inquire Mode for semantic search and natural-language queries across your entire library simultaneously. Smart tags execute custom AI prompts on transcripts for automatic categorization. The REST API with Swagger documentation supports signed webhooks integrating with n8n, Zapier, and Make. Auto-export pushes to Obsidian and Logseq, auto-processing watches directories, and the installable PWA provides mobile-first, offline-capable access with share-target support. 3,600+ stars since May 2025. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. AGPL-3.0 licensed.

ScribeCrate is a self-hosted speech-to-text API that turns recordings into transcripts, subtitles, and English translations on your own server. It speaks the OpenAI Whisper API fluently: point any compatible client at your server's address, swap in your API key, and uploads come back as text. Ask for plain text, JSON with timestamps, or ready-to-publish SRT and WebVTT subtitle files, and for long recordings the segments can stream back over SSE as they are decoded. Turn on speaker diarization and every segment is labeled with who is speaking, which makes interview and meeting transcripts readable at a glance. Choose the model that fits the job, from tiny for quick drafts to large-v3 for maximum accuracy, and run it on a modest CPU, a Raspberry Pi class ARM board, or an NVIDIA GPU. Almost any recording works: MP3, M4A, WAV, WebM, OGG, and FLAC are all accepted, and with models cached in advance the server keeps transcribing with no internet connection at all. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Audio lectures become structured, Markdown-formatted notes in about a minute with ScribeWizard (also known as GroqNotes). Upload an MP3, WAV, or M4A file - or paste a YouTube link - and the app runs a three-stage pipeline on Groq's LPU inference hardware: Whisper Large v3 transcribes the audio, a larger Llama model drafts a comprehensive outline of the material, and a faster Llama model fills each section with detailed content. This scaffolded prompting strategy is the core idea: the strong model handles structure where quality matters most, the fast model handles volume, and Groq's 1200+ tokens-per-second inference keeps the whole process near real time. Output renders as clean Markdown with support for tables and code blocks, and finished notes download as text or PDF. Model selection is configurable - swap in other Groq-hosted open models like Mixtral or Gemma to trade speed against quality or work around rate limits. Built as a single Streamlit app by Benjamin Klieger at Groq, it needs only a Groq API key to run, making it one of the simplest self-hosted AI tools to operate.

Vexa is the only Apache 2.0 meeting bot API that self-hosts the complete transcription pipeline, from bot dispatch to Whisper speech-to-text to knowledge agents, with zero audio leaving your infrastructure. A single POST /bots request sends a transcription bot into any Google Meet, Microsoft Teams, or Zoom call, where it captures audio, runs speaker-attributed transcription through faster-whisper or any OpenAI-compatible endpoint, and streams results to your application via real-time WebSocket with sub-second latency. The built-in agent framework watches live transcripts and your accumulated workspace context, answering mid-call questions grounded in your own meeting history and wiki. An MCP server connects Vexa to Claude, Cursor, and other compatible AI tools, turning every captured meeting into queryable context for external agents. The Terminal, a bundled Next.js web workbench, lets you send bots, watch live transcripts, manage users and API tokens, and chat with your meeting archive from a browser. Docker Compose brings the full stack up on one Linux host in five minutes; the Helm chart scales to thousands of users on Kubernetes with a Pod-per-bot architecture and built-in RBAC. Recordings persist in MinIO or any S3-compatible store, transcripts in Postgres, with Redis handling queues and scheduling. Deploy on RepoCloud for a dedicated VPS with full root SSH access and browser console. Apache 2.0 licensed.

The meeting ends and, instead of a raw transcript, you get minutes you can file: MeetDo is an open-source meeting-to-action system that hosts the meeting, captions it locally, and finishes the record for you. Start a browser meeting with video, screen sharing, and chat, and watch captions stream from a speech model running on the same infrastructure, so no audio is sent to a cloud note-taker. When the call ends, the transcript becomes structured minutes: summary, agenda flow, conclusions, and action items with owners, instead of a wall of raw text. Five meeting types, from management reviews and project weeklies to interviews and customer calls, shape the record, and custom templates export to DOCX or PDF with your original layout preserved. Domain vocabulary is corrected after recognition, so names, units, and industry terms survive transcription instead of turning into near-miss words. Past meetings stay searchable in a local history, and questions can be asked across them without anything leaving the machine. Editable transcripts let a human fix the record before it is filed, and the whole pipeline works offline after the first model download. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Subarr is the coordination, measurement, and quality layer for Whisper subtitle generation, sitting between Bazarr, Sonarr, Radarr, and subgen to decide what gets transcribed, in what order, and whether the result is any good. Its Coverage walk scans your whole library and scores every subtitle gap with a reason: no track, embedded-only, Bazarr-wanted, audio mislabeled, or low quality. Queue a file, a folder, or an entire series from the Library tab and watch it move through probing, transcribing, and write-back on the dashboard. The Review queue plays you the actual dialogue, picked out by voice-activity detection, so you can verify a subtitle really matches the audio language before it lands. It flags files whose default audio track is not the original language and swaps tracks in place, heading off the double-translation trap. A provider leaderboard records which subtitle sources actually deliver for your library, and the Tuning Lab lets you tune Whisper recipes against your own media. Rules and scheduled walks keep the work flowing, with Tautulli now-playing signals boosting whatever you are about to watch. Finished subtitles are written next to your media, and your Plex or Jellyfin library refreshes the moment one lands. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

With OpenReader, any EPUB, PDF, Word document, Markdown file, or plain text book transforms into an interactive reading workspace paired with natural text-to-speech playback and multi-chapter audiobook export. Documents render natively in their original page layout rather than flattening into plain text, using layout-aware block detection and cross-page stitching so multi-column academic papers, technical manuals, and textbooks flow in the right reading order while skipping headers and footnotes. As narration plays, word-level forced alignment highlights each spoken word directly on the page in real time, and progressive background generation starts audio playback on the first segment while synthesizing upcoming pages ahead of your cursor. Readers can connect local speech engines such as Kokoro, KittenTTS, and Orpheus or cloud voice providers, select language-aware voices for multilingual books, adjust playback speed, and switch among thirteen light and dark reading themes. Cached audio segments persist across seeks and browser reloads, allowing the background worker to assemble complete M4B or MP3 audiobooks for offline listening on mobile devices while syncing reading progress, queues, and library imports across sessions. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Cap is an open-source screen recorder with a built-in sharing site, so the explanation you would have booked a call for becomes a link someone can watch whenever it suits them. Pick Instant Mode when speed matters: choose a screen, window, or area, add your camera and microphone, and the video uploads while you record, so the share link is ready the second you stop. Pick Studio Mode when polish matters: Cap records locally at up to 4K and 60 frames per second, keeps screen and camera as separate tracks, and opens an editor for trimming, backgrounds, zooms, captions, and export to MP4 or GIF. Whichever mode made it, a shared video lands on a page that plays in any browser, where viewers can leave comments and reactions. Owners can keep a video private or protect it with a password, and team workspaces keep a shared library organized. Share pages come from your own domain, and recordings live in the bundled object store or any S3-compatible bucket. Connect a transcription and AI provider to add transcripts, titles, summaries, and clickable chapters. Bug reports, product demos, onboarding walkthroughs, design reviews, and async standups all shrink to a short recording and a link. The desktop apps for macOS, Windows, and Linux connect to your server through a single Cap Server URL setting. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. AGPL-3.0 licensed.

Reaching #1 on GitHub Trending with over 48,000 stars, OpenMontage is the first open-source agentic video production system — transforming AI coding assistants like Claude Code, Cursor, Copilot, Windsurf, and Codex into complete video studios that handle research, scripting, scene planning, asset generation, editing, and final rendering through natural language prompts. Twelve production pipelines cover animated explainers, cinematic trailers, documentary montages, talking heads, screen demos, podcast repurposing, character animation, localization and dubbing, avatar spokesperson videos, hybrid productions, clip factory batch processing, and animation workflows. Over 100 registered Python tools connect to 60+ providers including Kling, Runway Gen-4, Google Veo 3.1, FLUX, Google Imagen 4, ElevenLabs, and Suno AI for cloud generation, plus Piper TTS, WAN 2.1, Hunyuan, and CogVideo for fully local GPU rendering — while free footage from Archive.org, NASA, Wikimedia Commons, Pexels, and Unsplash powers the documentary montage pipeline's CLIP-indexed retrieval system for real-motion video without paid generation APIs. Two composition engines — Remotion for React-based programmatic video and HyperFrames for HTML/GSAP motion graphics — render final output with spring animations, word-level captions, kinetic typography, and SVG character rigs. A seven-dimension scored provider selector, pre-compose validation gates, post-render ffprobe self-review, slideshow risk scoring, configurable budget caps with per-action approval thresholds, and the Backlot live web dashboard for visual production monitoring enforce production-grade quality at every stage. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. AGPL-3.0 licensed.

Eliminating repetitive sponsor reads and dynamic mid-roll commercials before an episode even reaches your headphones, MinusPod operates as a self-hosted podcast ad-removal server and RSS feed manager. You subscribe to shows inside the web dashboard using PodcastIndex search or OPML import, and the server generates clean replacement RSS feeds compatible with Pocket Casts, Overcast, Apple Podcasts, and Audiobookshelf. When a new episode drops via scheduled polling or instant Podping notifications, the pipeline transcribes the audio locally with faster-whisper or Parakeet, or routes it through a remote transcription API. Your choice of LLM provider, including Ollama, Anthropic Claude, OpenRouter, or any OpenAI-compatible endpoint, scans overlapping transcript windows to pinpoint sponsor reads, cross-promotions, and intros. Programmatic audio analysis reinforces AI detection by measuring EBU R128 loudness jumps, Chromaprint acoustic fingerprints, show jingles, and dynamically inserted ad transitions before FFmpeg splices the audio or marks segments as skippable Podcasting 2.0 chapters. A browser-based Ad Editor lets you audition pre-cut and post-cut audio, nudge start and end timestamps, and confirm detections that train global, network, and show-specific sponsor patterns. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.