Need subtitles but not a cloud upload? Anysub transcribes audio and video with Whisper on your own server and hands back editable cues. Drop in a video or audio recording, pick a Whisper model from tiny to large, and the worker transcribes it with word-level timing. The studio then puts the video, the cue list, and a zoomable waveform timeline side by side, so every subtitle can be dragged, trimmed, split, merged, or retyped. Warnings flag cues that run too fast, too long, or overlap a neighbor, and autosave with undo keeps edits safe. Long uploads resume after a dropped connection, and the searchable library finds projects by name or by the words spoken inside them. Finished tracks export as SRT, WebVTT, plain text, or JSON with words and metadata. Administration pages manage model downloads, transcription defaults, upload limits, disk usage, and connected workers, and a first-run setup code protects the owner account. 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.

When international movies and series arrive in a Radarr or Sonarr library without native-language captions, Lingarr automatically translates subtitle files across dozens of languages using local AI models or cloud translation engines. Connect your existing movie and television directories to scan media folders, identify missing target-language subtitles, and generate translated caption files alongside the original video streams. Administrators can configure an ordered chain of 13 translation backends, pairing a primary engine such as OpenAI, Anthropic, Gemini, DeepSeek, Mistral, xAI, or DeepL with automatic fallback to self-hosted LibreTranslate or local Ollama models whenever rate limits occur. Context-aware prompt templates inject preceding and following dialogue lines into each AI request so idioms, speaker tone, and timing remain natural across scene transitions, while batch translation mode processes multi-line blocks in a single call. From the web dashboard, users can browse indexed movies and episodes, trigger manual single-file or library-wide translations, and monitor active queues, progress percentages, and historical logs in real time. Scheduled background tasks and a documented REST API allow media servers to automate caption generation completely hands-free as new releases finish downloading. 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.

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.

Subtitles are the one chore Sonarr and Radarr leave behind - Bazarr finishes the *arr media stack by automating them. It connects to both via their APIs and mirrors their libraries - it doesn't scan disk itself, it manages exactly what your *arr apps index. For every monitored episode and movie it checks existing internal and external subtitles against your language profiles, then hunts missing ones across dozens of providers - OpenSubtitles.com, Podnapisi, Addic7ed, Subscene, and many regional sources - covering 184 subtitle languages including forced/foreign-dialogue tracks. Matching is smarter than filename guessing: releases are compared by release group and source, some providers support exact file-hash matching, and every downloaded subtitle gets a percentage score. Set a minimum score per Sonarr/Radarr connection and Bazarr rejects weak matches; enable upgrades and it replaces previously downloaded subtitles when better ones surface. Out-of-sync files get fixed too - automatic subtitle synchronization realigns timing after download, triggered only below a configurable score threshold so good subs aren't touched. Per-show and per-movie language configuration, download history, manual on-demand search, and adaptive searching that throttles provider API calls round it out, all behind a clean Sonarr-style web UI written in Python. If your library serves multilingual viewers, this removes the last manual step.

What Nitter was to Twitter and Invidious is to YouTube, Lingva Translate is to Google Translate: a privacy front-end delivering the service's full capability while cutting Google out of the loop between you and your text. Built on Next.js with TypeScript and Chakra UI, it uses the purpose-built Lingva Scraper to fetch translations from Google Translate without your browser ever touching a Google-related service - no cookies, no tracking, no account, while retaining what makes Google Translate hard to give up: 100+ languages with the translation quality of Google's production models, unlike offline engines that trade privacy for accuracy. The clean interface covers automatic source-language detection, text-to-speech audio playback for pronunciations, definitions and examples, and light/dark themes. For developers, every instance doubles as a translation API: a RESTful endpoint at /api/v1/:source/:target/:query returns JSON translations, an audio endpoint serves TTS buffers, and a full GraphQL API at /api/graphql exposes translations, audio, and language lists for richer integrations - all unmetered on your own instance. Deployment is a single stateless container with one environment variable for the site domain; defaults for theme and language pair are configurable. GPL-licensed, and popular as the translation backend for privacy-respecting apps.

Machine translation with no Google, no Azure, no per-character billing, and no text leaving your infrastructure: LibreTranslate is a free, open-source translation API that runs entirely on your own server. The engine underneath is Argos Translate, which runs OpenNMT neural models with SentencePiece tokenization and Stanza sentence-boundary detection, all offline. Models install as portable .argosmodel packages covering dozens of languages - English, Spanish, French, German, Chinese, Japanese, Russian, Arabic, Hindi, Portuguese, and many more - and Argos handles automatic pivoting: with es-to-en and en-to-fr installed, it chains them to translate es-to-fr without a direct model. The API is a straightforward HTTP POST to /translate with source and target language codes, returning JSON - simple enough that the ecosystem has clients in every major language and integrations across tools like Weblate and Mastodon. Beyond plain text it translates HTML while preserving markup and handles whole file uploads (documents in, translated documents out), plus automatic language detection when the source is unknown. A clean bundled web UI serves interactive translation for end users, and optional API keys with rate limits control access. AGPL-licensed and trainable with custom models, it is the standard answer when translation must be private, unmetered, and self-contained - GDPR-sensitive text never touches a third party.

OpenTranscribe is a self-hosted transcription platform that converts your audio and video library into searchable, speaker-labeled transcripts, then lets you summarize and chat with those recordings. Upload files up to 15 GB, record from the browser microphone, or paste a link from YouTube and a thousand other sites, and playlists queue up for batch processing automatically. WhisperX produces word-level timestamps in over 100 languages, while the diarization engine works out who spoke when, corrects turn boundaries, and recognizes the same voice again across different recordings. Speaker profiles accumulate a voice fingerprint, speaking-time analytics, and merged identities, so a regular guest is named correctly in every episode without relabeling. Point it at an LLM and recordings gain structured summaries with action items, suggested tags and collections, and a chat interface that answers questions about your transcripts with citations, grouped into projects that pin their source recordings and standing instructions. Leave the model unconfigured and transcription, diarization, full-text and semantic search, and redaction still run entirely on local models. Watch folders, S3 buckets, and network shares import new media on a schedule with three-layer deduplication and automatic stitching of split recordings, and everything exports as subtitles, Word or PDF documents with citeable numbered lines, or Markdown. 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.

Over 2,500 open-source projects and companies in more than 165 countries localize with Weblate - the libre continuous localization platform and the standard self-hosted answer to Crowdin and Lokalise. Its defining trait is that translations live in the same version control as your code: Weblate talks directly to Git and Mercurial, pulls new source strings automatically via webhooks, and pushes finished translations back either as direct commits or as pull/merge requests on GitHub, GitLab, Gitea, Bitbucket, Azure DevOps, Gerrit, or Pagure. Every translator is properly credited in the commit history. For translators, it is a full computer-aided translation tool: translation memory, glossaries, customizable quality checks that catch placeholder and formatting mistakes, propagation of identical strings across components, and automatic suggestions from machine translation services - DeepL, Amazon Translate, LibreTranslate, and others, with per-service priorities and support for custom Python engines. It handles the format zoo (gettext PO, JSON, YAML, Android XML, iOS strings, and dozens more) and supports crowdsourced workflows with granular access control, workspaces, two-factor authentication, and reviewer approval steps. A REST API, CLI client, and add-on system automate everything else. Built on Python/Django, GPL-licensed, with no per-string or per-seat pricing when self-hosted.

Hold Alt/Option, click any string in your running app, and edit the translation in place: Tolgee is an open-source localization platform built the way developers wish translation worked - changes save straight to the platform with no hunting through JSON or PO files. In-context editing works even in production via the Tolgee Tools browser extension, which injects credentials without touching source code, so a client or colleague with zero coding skills can translate the product inside the product. The SDKs (React, Angular, Vue, Svelte, plus iOS and Android) extract context from each UI element and capture one-click screenshots, giving both human translators and machines the surrounding meaning that raw string files lose. Autonomous translation uses that context: new keys are instantly filled from translation memory or machine translation (DeepL, Google Translate, AWS Translate), with optional human review afterward - shipping no longer waits on a translation agency. A CLI handles import/export, a REST API covers automation, a Figma plugin bridges design, and an MCP server lets AI coding assistants search keys, create translations, and trigger machine translation without leaving the editor. Self-hosting this Crowdin/Phrase/Lokalise alternative keeps every string, screenshot, and API key on your infrastructure.

LinguaCafe turns your own reading material, novels, news sites, ebooks, and video subtitles, into a private language tutor that lives entirely on your server. Import a text and every word starts out highlighted as new; as you read and mark words known, the highlighting thins out until whole pages sit clean. When an unknown word stops you, the built-in vocabulary search shows its dictionary form, so inflected verbs surface as their infinitive and nouns carry their gender, while optional DeepL translation covers anything the dictionaries miss. Marking a word adds it to your vocabulary, and multi-word selections become phrases that stay highlighted everywhere they appear again. Chapters track how many new, highlighted, and known words they contain, which makes judging a text's difficulty a glance instead of a guess. The review system cycles highlighted words through Leitner-style spaced repetition, and anything you collect can be exported or pushed straight into Anki through AnkiConnect for study on your phone. Japanese learners get kanji and radical breakdowns beside the reading pane. Everything stays local: your books, your words, and your progress never leave the machine. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. GPL-3.0 licensed.

Reading a new manhwa chapter on release day usually means waiting for a scanlation group, or pasting panels into three tools yourself. XianScan collapses that whole relay into one server: point its browser extension at a chapter on a reader site and it captures every page, or drop raw pages into the studio and let the pipeline run. Speech bubbles, captions and sound effects are detected automatically, the text inside them is read by OCR supporting ten languages in vertical and horizontal layouts, and tall webtoon strips are resliced along natural panel gutters so no bubble is ever cut in half. Translation keeps a sliding memory of previous pages so speakers, pronouns and story topics stay consistent, while terminology glossaries lock character names and cultivation terms across an entire series. The original lettering is then removed by neural inpainting that rebuilds the artwork underneath, and the translation is typeset back into the bubbles with computed font sizes, line breaks and per-script fonts, including right-to-left scripts and accent fonts for attack names. Inspect OCR boxes and confidence scores, fix text before saving, then read in the web studio or stream chapters to the Mihon app on your phone. Local models through Ollama or LM Studio keep everything offline, or plug in Gemini, OpenAI, Groq or OpenRouter keys when you prefer the cloud. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Muxarr cleans up your media library by stripping out the audio and subtitle tracks you will never use, so players stop offering twenty subtitle options and the wrong dub. Tell it which languages you actually watch and read, and it keeps those tracks while dropping commentary, foreign dubs, and redundant subtitles. Nothing is re-encoded: video and audio are copied as they are, so quality is identical and a large film finishes in about a minute instead of hours. Spare audio tracks alone often free ten to thirty percent of a file, which adds up quickly across a big library. Profiles apply different rules per directory, so anime, family films, and western shows can each keep different languages, with priority ordering, per-language limits, and fallback rules like English subtitles only when German ones are missing. Regional variants are understood, distinguishing Quebec French from France French or Latino from Castilian Spanish. When Sonarr or Radarr import something new, a webhook sends it straight to Muxarr, and original language detection makes sure a foreign film keeps its real soundtrack. Track names get cleaned of encoder tags, default and forced flags are fixed, and every output is validated before it replaces the original. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. GPL-3.0 licensed.

You are halfway through a film when a scene begs to be shared, and Cliparr is the self-hosted clip maker that turns moments from your Plex, Jellyfin, or local video library into shareable clips without opening a full video editor. Connect a media server and Cliparr follows live playback sessions automatically, so the scene you are watching is already loaded when you decide to keep it. Local video files open directly in the browser without being uploaded anywhere first. Mark the range, fine tune the start and end, then crop the frame freely or to a fixed aspect ratio with mouse or touch controls, which makes vertical clips for phones as easy as widescreen ones. Exports run entirely in your browser as video, audio only files, or GIFs, so the server never turns into a render box and the clip lands on the device you are using. Source details, artwork, and clip timing travel inside supported containers, keeping the exported file labelled with where it came from. Captions are a first class step: write your own subtitles, import an existing file, style the text, and burn it into the picture before export. Editor keyboard shortcuts, access control, and reverse proxy support round out a tool that fits into an existing media setup instead of replacing it. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT 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.