Free AI Tools in Hindi

हिन्दी

ISO Code: hi

Hindi AI Capabilities

Free.ai supports Hindi across 31 tools, powered by state-of-the-art open-source models (Qwen3, Whisper, Madlad). Pick a tool above to start.

  • AI chat and text generation in Hindi (Qwen3 30B MoE)
  • Translation to and from Hindi (Madlad — 419 languages)
  • Hindi speech-to-text transcription (Whisper Large v3)
  • Hindi text-to-speech with natural AI voices (Kokoro / Piper / MeloTTS)
  • Hindi prompts work for image, video, and music generation

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Iinkcukacha Zolwimi

IilwimiHindi
Igama Elisemthethweniहिन्दी
Ikhowudi ye-ISOhi
Izixhobo Ezifumanekayo31
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Hindi (हिन्दी) is a full-coverage language on Free.ai. Every public tool accepts Hindi: AI chat at /chat/, translation at /translate/, audio transcription at /transcribe/hi/, text-to-speech at /voice/hi/, writing tools at /write/blog/ and /write/email/, image generation at /image/generate/ (prompts in Hindi work but English prompts produce best results), and code generation at /code/. Currently active surfaces: chat, search, assistant, write, summarize, paraphrase, grammar, humanizer, detect-ai, expand, simplify, rewrite, email, cover-letter, resume, essay, story, poem, code, coder, translate, image, image/anime, image/logo, image/poster, image/meme, image/wallpaper, video/generate, music/generate, transcribe, tts.

Yes — /chat/ accepts Hindi prompts and replies in Hindi. Free signups get 10,000 tokens immediately plus a daily refill pool (resets every 24 hours) that covers normal conversational use. When the daily pool runs out, paid tokens start at $1 = 750,000 tokens; a $5 top-up adds 200,000 tokens at the entry tier. Per-message cost in Hindi is roughly the same as English on modern multilingual models — no language surcharge.

Yes — append `?lang=hi` to any URL (e.g. /?lang=hi or /chat/?lang=hi) and the Free.ai chrome (menus, buttons, tooltips, footers) renders in Hindi. The selection persists via cookie. Hreflang tags in <head> tell Google to serve the Hindi version to Hindi-speaking searchers. AI model output itself follows whatever language you write your prompt in — independent of the UI setting.

It varies by engine. Free.ai exposes multiple TTS engines at /voice/hi/ — Kokoro and Piper for fast on-device-quality synthesis, Chatterbox for expressive long-form, and MeloTTS for multilingual coverage. For Hindi, MeloTTS and the premium engines give the most natural prosody; the smaller models trade naturalness for speed. Paste a sample on /voice/hi/ and the page renders the same text across engines so you can pick by ear.

Yes — /transcribe/hi/ runs Whisper-large on Hindi audio. Word error rate (WER) on clean studio audio is typically 5-12%; noisy phone calls or heavy regional accents push WER higher. The API endpoint `/v1/transcribe/?language=hi` lets you pin the language so Whisper does not autodetect wrong on short clips. Output formats: TXT, SRT, VTT, JSON with word-level timestamps.

Yes — /translate/ does both directions. Free.ai uses a mix of NLLB-200 (Meta's 200-language model) and premium models depending on the pair. Popular pairs have dedicated landing pages — try /translate/en-hi/ for English→Hindi or /translate/hi-en/ for Hindi→English (where available). The API endpoint is `/v1/translate/?target=hi` — POST your source text in the request body. There is no per-character minimum; short strings and full documents both work.

Yes, with a caveat. /image/generate/ accepts prompts in Hindi, but every major open and commercial image model (Flux, SDXL, Seedream, Ideogram, etc.) was trained primarily on English-captioned images. Hindi prompts work, but the tightest prompt-following comes from English. If quality matters, run your prompt through /translate/ first (or use /v1/translate/?target=en in the API) and feed the English version to /image/generate/. Rendering Hindi text inside images requires Ideogram or a similar text-aware model — most other models will produce gibberish glyphs.

Yes. Hindi uses the Devanagari script, and Free.ai serves it as UTF-8 with Noto Sans Devanagari as the rendering fallback. Complex conjuncts and matras render correctly in chat, transcription, and TTS input fields. PDF and DOCX exports from /write/ embed the font, so the file opens the same way on any machine.

Yes. /write/blog/, /write/essay/, and /write/email/ all accept a topic in Hindi and produce output in Hindi. Under the hood these route to the same chat models, so anything /chat/ does in Hindi the writing tools also do. SEO tools (/seo/, /write/title/) generate Hindi-language titles and meta descriptions when you set the target locale.

Same rates as every other language. $1 buys 750,000 tokens; a $5 top-up gets 200,000 tokens at the entry tier; free signups receive 10,000 tokens immediately plus a daily free pool that covers everyday chat and translation. Hindi input and output tokenizes at roughly the same rate as English on modern multilingual tokenizers (BPE / SentencePiece), so a Hindi chat costs about the same as the equivalent English chat. No language carries a surcharge.

Yes. The same endpoints used by the web UI accept Hindi input transparently — `/v1/chat/` takes a `messages` array in any language and replies in the same one. For translation, POST to `/v1/translate/?target=hi` with the source text. For transcription, pin the language with `/v1/transcribe/?language=hi` so Whisper does not autodetect wrong on short audio. For TTS, POST to `/v1/tts/` with `language=hi` to pick the right voice automatically. Auth: Bearer token from /api/. See /api/ for SDK snippets and rate-limit details.

Free.ai supports 100+ languages with dedicated landing pages at /languages/. The full list covers every language Whisper, NLLB, and the major chat models handle — including all official EU languages, every major Asian language, Arabic and Hebrew, and a growing roster of African and Indigenous languages. Each language page (like this one for Hindi) lists which surfaces currently support it.

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