How to transcribe › auto-subtitle

How to transcribe auto-subtitle recordings

auto-subtitle makes the recording — Whipscribe makes it text. Three steps, and the first preview is free with no signup.

The three steps

1

Get the audio out. Take the source media you're captioning in auto-subtitle and upload it here — you get SRT/VTT with word-level timing to load back into your tool.

2

Drop it below. Upload the file right here — no signup for the instant preview. Long, multi-hour files are fine, and video uploads work too (we transcribe the audio track).

3

Take the text with you. Accurate, speaker-labeled text with timestamps — export TXT, SRT, VTT or DOCX, in 100+ languages, processed on Whipscribe's own private cloud.

About auto-subtitle

“使用faster-whisper本地模型提取音频,生成srt和ass字幕文件。支持gpt等在线翻译,生成翻译后字幕文件。(Use the faster-whisper local model to extract audio and generate srt and ass subtitle files. Support online translation such as gpt to generate translated subtitle files.).”

GitHub stars
57
Built in
Python
Category
Captioning

auto-subtitle facts & alternatives →  ·  GitHub ↗

Frequently asked

Can Whipscribe transcribe audio you're captioning with auto-subtitle?

Yes — any audio or video file auto-subtitle produces can be uploaded directly. Take the source media you're captioning in auto-subtitle and upload it here — you get SRT/VTT with word-level timing to load back into your tool.

Do I need to convert the file first?

No. Common audio and video formats upload as-is; video's audio track is transcribed automatically.

How accurate is it?

Clear speech in major languages comes back near-publishable; noisy or heavily accented audio deserves a review pass. The instant preview shows real output before you commit.

What does it cost?

About $2 per audio hour as pay-as-you-go credits that never expire — the first preview is free with no signup.