Hinglish reel captions, made offline on your own laptop

Описание и применение

Приложение для офлайн‑генерации и редактирования субтитров Hinglish, использующее Whisper и локальные модели, позволяет фрилансерам быстро создавать точные субтитры без облачных сервисов.

Задача

Freelance editors and small agencies struggle to produce Hinglish captions that match the spelling users actually type, while keeping timing intact and avoiding cloud costs.

Результат

The tool reduces captioning time by automating transcription and Romanization, keeps timing stable during edits, and eliminates cloud costs and data transfer, enabling freelancers to scale their side‑hustle without additional per‑minute fees.

Рабочий процесс

• Drop video or audio into the web interface
• Whisper transcribes and outputs timestamps
• App converts Devanagari Hindi to Roman Hinglish using custom rules
• Captions are displayed word‑by‑word in the preview
• Editor allows spelling fixes, splits/join words while keeping timing
• Choose style or brand colours
• Export as burned‑in MP4, SRT, VTT, ASS, or plain transcript
• Optionally run a local LLM (Ollama) to tidy spellings

Доказательства

The problem is not that speech recognition can't hear Hindi, because open models like Whisper hear it well. The problem is what comes out.

Источник

Hinglish Reel Captioner is a small local web app for that job. You drop in a video or a voice note. It listens with open-weight Whisper, converts each Hindi word to Roman Hinglish while leaving English words English, and plays big word-by-word captions over a live preview.

Источник

The editor keeps the timing intact, and the optional LLM pass follows the same discipline.

Источник