Инструменты

Translates full PDF papers while preserving formulas, charts and layout (command pdf2zh), outputting monolingual and side-by-side bilingual PDFs. Uses Google Translate by default and can switch to DeepL, OpenAI and others; also runs as an MCP server.

Translation skill by Baoyu with quick, normal and refined modes, custom glossaries, and target audience and style settings. Translates local files or URLs; suited to long-form Chinese-English translation and localization. Needs bun or npx.

Content creation plugin by Baoyu (JimLiu): infographics, article illustrations, covers, slide decks and translation, plus Xiaohongshu image cards and publishing to WeChat Official Accounts, Weibo and X. Needs Node.js; image generation needs an OpenAI, Google or Tongyi Wanxiang API key.

Baoyu's (JimLiu) content creation skills: infographics, covers, article illustrations, slide decks, comics and translation, plus Xiaohongshu cards and publishing to WeChat, Weibo and X. Needs Node.js, bun and an image model API key; some skills rely on Chrome automation or unofficial APIs.

Offline speech transcription and translation based on Whisper; audio never leaves your machine. buzz add exports lectures, interviews and meeting recordings to TXT, SRT or VTT. pip install needs Python 3.12 and FFmpeg; a desktop app is also available. Check transcripts manually.

All-in-one video translation and dubbing: chains speech recognition, subtitle translation, multi-speaker AI voiceover and audio-video muxing, with local or online models like Faster-Whisper, DeepSeek and Edge-TTS. cli.py supports headless batch runs. Needs FFmpeg.

CLI version of the VideoCaptioner subtitle assistant: transcribes courses, lectures and interviews, uses an LLM to segment, proofread and translate, then burns subtitles into the video. Free ASR and Bing translation work out of the box; LLM refinement needs an API key. Python 3.10 to 3.12.

Batch-translates text in manga, posters and screenshots with one command: detects text, runs OCR, erases the original and typesets the translation back into the image. Japanese-focused, with 20+ languages supported. Install from source (Python 3.10+); offline models, DeepL or LLM APIs.

Writing agent for novels, scripts, interactive fiction and long-form translation, with CLI, TUI and web workspace. Tracks worldbuilding, characters and foreshadowing, reviews and revises drafts, and works as a skill for other agents. Needs Node.js 22.16+ and a model API key such as Kimi or DeepSeek.

PDF translation CLI for research papers that preserves formulas and layout as much as possible, producing bilingual side-by-side or translation-only PDFs. Needs an OpenAI-compatible API (local Ollama works too); currently focused on English to Chinese.

Extracts subtitles burned into videos to SRT or TXT, with all OCR done locally in 87 languages. Mainly a GUI (with batch mode); the CLI backend/main.py reads the video path and subtitle area from stdin. Needs Python 3.12+ and PaddlePaddle; paths cannot contain spaces or Chinese characters.

Automatically aligns subtitle timing to a video's audio track, fixing translated subtitles that drift out of sync, or syncs against an already aligned subtitle file. Runs locally with no account; install Python and FFmpeg first.

Open-source offline machine translation built on OpenNMT, usable as a CLI, Python library or GUI. Download language packages as needed; when no direct model exists it pivots through an intermediate language. Suits text you would rather not upload to the cloud.

Lingo.dev's official CLI: lingo push sends JSON, YAML, Markdown, PO, XLIFF, Android/Xcode strings and other files from your repo to its LLM localization engine, and lingo pull brings translations back; CI-ready. Needs a Lingo.dev account; usage-based pricing with a free sandbox.

PDFMathTranslate 2.x (command pdf2zh_next), built on BabelDOC: translates papers and other PDFs while keeping formulas, charts, TOC and annotations, outputting translated and bilingual side-by-side versions. Uses a free translation channel by default, or your own OpenAI, DeepSeek or other API key.

LLM translator for novels, subtitles, ebooks and game text: one-click glossaries keep names consistent and translations get auto-reviewed. Besides the desktop app it has a CLI (translate/analyze, JSONL status). Download from Releases and bring an LLM API; commercial use needs the author's OK.

Translates whole EPUB books, Word files, SRT subtitles and TXT with local Ollama or cloud LLMs (OpenAI, Gemini, DeepSeek), keeping layout and timings. Builds a glossary for consistent terms and can resume jobs. Mainly a desktop app; the CLI runs from source; cloud models need an API key.

Helps app marketers and translators plan multilingual App Store listings: prioritize countries, research keywords per market, rewrite title, subtitle, keywords and description, and flag screenshot and cultural issues rather than translating literally. Guidance only, no account needed.

Translates entire books: splits PDF, DOCX or EPUB into chunks for parallel subagents, keeps terminology consistent, resumes interrupted runs and verifies with hashes, then outputs HTML, DOCX, EPUB or PDF. Needs Calibre, Pandoc and Python.

AI localization: deploy the server to your own Vercel account (Postgres and AI Gateway included; enable deployment protection afterwards), then run npx languine@selfhosted translate to translate locale files with LLMs. A GitHub Action can open PRs. Needs a Vercel account and Node.js.

Translates a video's SRT subtitles into other languages and generates AI voice lines synced to the timings, producing translated subtitles and dubbed audio tracks. Needs Python, FFmpeg and Google Cloud, Azure, DeepL or ElevenLabs API keys; configure the ini files, then run python main.py.

Local LLM-powered document translator for PDF, Word, Excel, EPUB, SRT subtitles and more; Word and Excel keep their formatting, glossaries can be built automatically, and agents can submit jobs via MCP. Needs uv and an OpenAI-compatible API key; translated PDFs lose the original layout.

The standard machine translation scorer: computes BLEU, chrF and TER with significance tests and downloads public test sets such as WMT, to compare engines or prompts. Needs Python 3.9+ and reference translations; automatic metrics are a rough screen, so final copy still needs human review.

Batch-translates SRT, ASS, VTT and LRC subtitles, handling a whole season at once, with bilingual output and 120+ languages. The default free translation API needs no setup, or connect DeepL or various LLMs. The CLI runs from a cloned repo with yarn and needs Node.js 24+.