OpenAI Translate without login/keys

translate.py translates via OpenAI's ChatGPT Translate (chatgpt.com/translate/) with plain requests — no login, no API key. Everything is auto-extracted at runtime by replicating the page's own anonymous handshake (reverse-engineered from its JS bundles).

Request chain

1. GET https://chatgpt.com/translate/ → cookies (oai-did device id, Cloudflare).
2. POST https://chatgpt.com/backend-api/sentinel/chat-requirements/prepare body {"p": "gAAAAAC" + base64(JSON(fingerprint config))} → {prepare_token, proofofwork: {seed, difficulty}, turnstile, so}.
3. Solve the proof-of-work in Python: FNV-1a-32 + fmix32 avalanche over seed + base64(JSON(config)), find config with digest[:len(difficulty)] <= difficulty (string compare, ~2.6% hit rate, solves in milliseconds). Answer = "gAAAAAB" + base64(JSON(config)) + "~S".
4. POST https://chatgpt.com/backend-api/sentinel/chat-requirements/finalize body {"prepare_token", "proofofwork": answer} → {token} (persona chatgpt-noauth). Turnstile is listed as required but the translate endpoint accepts a valid PoW without it.
5. POST https://chatgpt.com/translate/stream with anonymous headers (OAI-Language, OAI-Device-Id, x-openai-web-frontend: core_web, OAI-Client-Version, OAI-Client-Build-Number, OAI-Session-Id) and body {request: {sourceLanguageCode, targetLanguageCode, text, pipeline: "latency-optimized", ...}, sentinel: {chatReqToken, chatReqPrepareToken, turnstileToken: null, proofToken}}. Response is SSE: data: {"delta": "..."} chunks, ends with data: [DONE].

Notes: tokens are effectively single-use — a 403 triggers one automatic fresh handshake + retry. source="detect" auto-detects the input language.

Usage

from openai_translate import OpenAITranslate

t = OpenAITranslate()
print(t.translate("Hello world", target="es", source="en"))
print(t.translate("مرحبا بالعالم", target="en"))  # source auto-detected

Install as a library:

pip install .

Or from PyPI (after a GitHub release is published):

pip install openai-translate

Publishing to PyPI uses an API token:

1. On pypi.org: Account settings → API tokens → create a token scoped to the openai-translate project
2. In this repo: Settings → Secrets and variables → Actions → add it as PYPI_API_TOKEN
3. Create a GitHub release — the workflow builds and publishes automatically