Free AI Tools in Turkish
Türkçe
ISO Code: tr
Available Tools in Turkish
Turkish AI Capabilities
Free.ai supports Turkish 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 Turkish (Qwen3 30B MoE)
- Translation to and from Turkish (Madlad — 419 languages)
- Turkish speech-to-text transcription (Whisper Large v3)
- Turkish text-to-speech with natural AI voices (Kokoro / Piper / MeloTTS)
- Turkish prompts work for image, video, and music generation
Detaje gjuhe
| Gjuha | Turkish |
| Emri i origjinës | Türkçe |
| Kodi ISO | tr |
| Instrumentë në dispozicion | 31 |
| Çmimi | I lirë |
Shfleto gjuhët
Shiko të gjitha gjuhëtFAQ
Turkish (Türkçe) is a full-coverage language on Free.ai. Every public tool accepts Turkish: AI chat at /chat/, translation at /translate/, audio transcription at /transcribe/tr/, text-to-speech at /voice/tr/, writing tools at /write/blog/ and /write/email/, image generation at /image/generate/ (prompts in Turkish 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 Turkish prompts and replies in Turkish. 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 Turkish is roughly the same as English on modern multilingual models — no language surcharge.
Yes — append `?lang=tr` to any URL (e.g. /?lang=tr or /chat/?lang=tr) and the Free.ai chrome (menus, buttons, tooltips, footers) renders in Turkish. The selection persists via cookie. Hreflang tags in <head> tell Google to serve the Turkish version to Turkish-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/tr/ — Kokoro and Piper for fast on-device-quality synthesis, Chatterbox for expressive long-form, and MeloTTS for multilingual coverage. For Turkish, MeloTTS and the premium engines give the most natural prosody; the smaller models trade naturalness for speed. Paste a sample on /voice/tr/ and the page renders the same text across engines so you can pick by ear.
Yes — /transcribe/tr/ runs Whisper-large on Turkish 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=tr` 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-tr/ for English→Turkish or /translate/tr-en/ for Turkish→English (where available). The API endpoint is `/v1/translate/?target=tr` — 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 Turkish, but every major open and commercial image model (Flux, SDXL, Seedream, Ideogram, etc.) was trained primarily on English-captioned images. Turkish 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 Turkish text inside images requires Ideogram or a similar text-aware model — most other models will produce gibberish glyphs.
Yes. Turkish uses the Latin script with locale-specific diacritics, and Free.ai serves UTF-8 end-to-end — chat, transcription output, TTS input, /write/ exports, and PDF/DOCX downloads. Accented characters and locale-specific glyphs render without substitution.
Yes. /write/blog/, /write/essay/, and /write/email/ all accept a topic in Turkish and produce output in Turkish. Under the hood these route to the same chat models, so anything /chat/ does in Turkish the writing tools also do. SEO tools (/seo/, /write/title/) generate Turkish-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. Turkish input and output tokenizes at roughly the same rate as English on modern multilingual tokenizers (BPE / SentencePiece), so a Turkish 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 Turkish input transparently — `/v1/chat/` takes a `messages` array in any language and replies in the same one. For translation, POST to `/v1/translate/?target=tr` with the source text. For transcription, pin the language with `/v1/transcribe/?language=tr` so Whisper does not autodetect wrong on short audio. For TTS, POST to `/v1/tts/` with `language=tr` 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 Turkish) lists which surfaces currently support it.