Free AI Tools in English
ISO Code: en
Available Tools in English
English AI Capabilities
Free.ai supports English 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 English (Qwen3 30B MoE)
- Translation to and from English (Madlad — 419 languages)
- English speech-to-text transcription (Whisper Large v3)
- English text-to-speech with natural AI voices (Kokoro / Piper / MeloTTS)
- English prompts work for image, video, and music generation
Detalles del idioma
| Idioma | English |
| Nombre nativo | English |
| Código ISO | en |
| Herramientas disponibles | 31 |
| Precio | Libre |
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English is a full-coverage language on Free.ai. Every public tool accepts English: AI chat at /chat/, translation at /translate/, audio transcription at /transcribe/en/, text-to-speech at /voice/en/, writing tools at /write/blog/ and /write/email/, image generation at /image/generate/ (prompts in English 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 English prompts and replies in English. 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 English is roughly the same as English on modern multilingual models — no language surcharge.
Yes — append `?lang=en` to any URL (e.g. /?lang=en or /chat/?lang=en) and the Free.ai chrome (menus, buttons, tooltips, footers) renders in English. The selection persists via cookie. Hreflang tags in <head> tell Google to serve the English version to English-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/en/ — Kokoro and Piper for fast on-device-quality synthesis, Chatterbox for expressive long-form, and MeloTTS for multilingual coverage. For English, MeloTTS and the premium engines give the most natural prosody; the smaller models trade naturalness for speed. Paste a sample on /voice/en/ and the page renders the same text across engines so you can pick by ear.
Yes — /transcribe/en/ runs Whisper-large on English 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=en` 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-en/ for English→English or /translate/en-en/ for English→English (where available). The API endpoint is `/v1/translate/?target=en` — POST your source text in the request body. There is no per-character minimum; short strings and full documents both work.
Yes — image generation models (Flux, SDXL, Seedream, Ideogram, and the rest at /image/generate/) were trained on English caption pairs and produce their cleanest results from English prompts. You can mix English with proper nouns from any language (place names, brands, character names) and the model handles them.
Yes. English 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 English and produce output in English. Under the hood these route to the same chat models, so anything /chat/ does in English the writing tools also do. SEO tools (/seo/, /write/title/) generate English-language titles and meta descriptions when you set the target locale.
Las mismas tarifas que cualquier otro idioma. $1 compra 750.000 tokens; un complemento de $5 obtiene 200.000 tokens en el nivel de entrada; las inscripciones gratuitas reciben 10.000 tokens inmediatamente más una piscina gratuita diaria que cubre el chat y la traducción cotidianos. English tokenizes a aproximadamente la misma tasa que el inglés en los tokenizers multilingües modernos (BPE / SentencePiece), por lo que un English chat cuesta aproximadamente lo mismo que el chat equivalente en inglés. Ningún idioma conlleva un recargo.
Sí. Los mismos parámetros utilizados por la interfaz de usuario de la web aceptan English input transparently — `/v1/chat/` toman una matriz de mensajes en cualquier idioma y respuestas en el mismo. Para la traducción, POST to `/v1/translate/?target=en` con el texto fuente. Para la transcripción, pin el lenguaje con `/v1/transcribe/?language=en` por lo que Whisper no detecta automáticamente errores en el audio corto. Para TTS, POST to `/v1/tts/` con `language=en` para elegir la voz correcta automáticamente. Auth: Beaser token from /api/. Véase /api/ for SDK snippets and rate-limit details.
Free.ai es compatible con más de 100 idiomas con páginas de destino dedicadas en /languages/. La lista completa cubre cada idioma Whisper, NLLB, y los principales modelos de chat manejan — incluyendo todos los idiomas oficiales de la UE, todos los principales idiomas asiáticos, árabe y hebreo, y una lista creciente de idiomas africanos e indígenas. Cada página de idioma (como este para English) enumera las superficies que actualmente lo soportan.