Инструменты: Translation / L10n

OCRs photos of visa documents such as bank, employment or income certificates, translates them into English and builds a side-by-side bilingual PDF. Needs Python (pillow, reportlab) and an OCR engine. Not an official certified translation: verify names, amounts and dates.

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.

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.

Automattic's offline English grammar checker: checks spelling, grammar and word choice locally in milliseconds without sending your text anywhere. Homebrew installs harper-cli for batch-checking files (still experimental) and harper-ls for editors. English only.

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.

Open-source grammar, spelling and style checker for 20+ languages including English, German, French, Spanish and Portuguese. Proofread drafts in bulk from the CLI or run a local HTTP checking server for agents. For writers, translators and language teachers. Needs Java 17 (Homebrew includes it).

FormatJS's official localization review skill for software translators: read-only checks of UI strings and translations for ICU syntax, placeholders, terminology consistency and locale formats for dates, numbers and currency, listing issues with evidence and minimal fixes. Never edits files.

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.

Open-source Simplified/Traditional Chinese converter: deterministic dictionary-based conversion (no LLM) covering variant characters and regional vocabulary for mainland China, Taiwan and Hong Kong, with limited Japanese kanji support. Runs offline; CLI plus Node.js and Python APIs.

Uses LLMs to translate EPUB, TXT, Markdown, SRT, PDF and other files into side-by-side bilingual editions, via OpenAI, Anthropic, Gemini and other APIs or DeepL and Google Translate. LLM APIs need your own key or a Codex subscription. Only translate content you have rights to.

Official AWS MCP for Amazon Translate: translation and language detection across 75+ languages, custom terminology for consistent proper nouns, and batch translation of documents in S3 with failed-job analysis. Needs an AWS account and local credentials; billed per character; requires uv.

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.

Canva's official skill (OpenAI plugin directory): translates all text in a Canva design into another language and saves a copy, leaving the original intact. Useful for multilingual marketing. Needs a Canva account and the Canva MCP; longer text may need layout tweaks.

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.

English prose linter that turns usage guides such as Garner's and advice from great writers into rules, flagging clichés, redundancy, bad comparisons and usage errors line by line, with JSON output for agents. Runs locally with Python; English only.

Open-source, self-hostable localization platform with a built-in MCP server: agents search keys, create and edit translations, manage languages and run machine translation. Works with Tolgee Cloud or your own instance; create a project API key or personal access token in settings.

Writes or rewrites English docs in the spirit of ASD-STE100 Simplified Technical English: short sentences, active voice, condition before command, one word one meaning, terms defined at first use. Plain mode by default, Strict mode for STE compliance, plus a rule-by-rule check mode.

Pluggable natural-language linter that checks Markdown and plain text for wording, punctuation and terminology consistency like code, with auto-fix, and can also run as an MCP server. Rules are installed separately, mostly for Japanese and English; requires Node.js 20+.

MCP server built into the textlint proofreader: agents check Markdown, plain text and other documents against your rules for wording, punctuation and formatting issues and get auto-fixed text. Needs Node.js plus a .textlintrc and rule packages in your project; textlint has no default rules.