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docs(marketing): instructions pour l'agent Hermes et mise en conformite des textes de lancement (DeepL retire, 6 moteurs, 107 langues)

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sepehr
2026-09-05 10:30:30 +02:00
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docs/marketing/launch/show-hn.md
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>
> - **In-place translation** for .xlsx / .docx / .pptx / .pdf. The pipeline parses the native structure (cells + merges + formulas, paragraph runs + styles, slide XML + shapes), extracts only translatable content, translates it, and writes it back into the *same* structure. Output looks like it was authored in the target language.
> - **Scanned PDFs work too**: image-only pages are recovered with OCR (Mistral) before translation — most competitors (DeepL, Azure) reject those outright.
> - **7 engines, user's choice per document**: Google (free), DeepL, Google Cloud, OpenRouter LLMs in two tiers (DeepSeek / Gemini / Claude), OpenAI, and Grok (xAI). Cheap engine for drafts, premium LLM for client deliverables.
> - **6 engines, user's choice per document**: Google (free), Google Cloud, OpenRouter LLMs in two tiers (DeepSeek / Gemini / Claude), OpenAI, and Grok (xAI). Cheap engine for drafts, premium LLM for client deliverables.
> - **Custom glossaries** to lock technical/legal/medical terminology across documents.
> - **Vision translation** for text inside images (paid plans).
> - **Privacy**: uploads deleted after 30 min, results auto-deleted within 2 hours, zero data retention, content never used for training.
> - **Privacy**: uploads deleted after 30 min, results auto-deleted within 2 hours — no long-term retention — and content never used for training.
> - **API** on the Business plan (10k calls/mo) — the web workflow is fully mirrored: submit file, poll job, download.
>
> Stack: FastAPI (Python 3.11), openpyxl / python-docx / python-pptx, PyMuPDF, Postgres + Redis, Stripe, Docker, Next.js 15 frontend.