stt2vtt 0.0.5

Convert fast-whisper STT result JSON to WebVTT

stt2vtt

Convert fast-whisper STT results with timestamps to WebVTT. Input is a list of segments (or a JSON string of that list) from faster-whisper or compatible segment + word timestamps. Output is VTT text.

No audio processing or ML models — this repo only converts existing STT JSON to VTT.

Installation

pip install stt2vtt

Dev dependencies:

pip install stt2vtt[dev]

Usage

CLI

# From file (writes <stem>.vtt in current directory by default)
stt2vtt result.json
# → result.vtt

# Custom output path
stt2vtt result.json -o output.vtt

# From stdin
cat result.json | stt2vtt -o output.vtt

Python

import stt2vtt

# Call the package: list of segments, or JSON string of that list (fast-whisper format)
vtt = stt2vtt('[{"start": 0, "end": 1.5, "text": " Hello world.", "words": [{"start": 0, "end": 0.5, "word": " Hello"}, {"start": 0.5, "end": 1.5, "word": " world."}]}]')

print(vtt)  # "WEBVTT\n\n00:00:00.000 --> ..."

Input format (fast-whisper)

Input must be a list of segments or a JSON string of that list (no wrapper object).

Minimal schema:

• Segment: start, end (seconds), text, words (list, default []).
• Word (each item in words): start, end, word.

Extra fields in the JSON are ignored. See tests/test_data/jp2-input.json for the formal format.

Example:

[
  {
    "start": 0.0,
    "end": 1.5,
    "text": " Hello world.",
    "words": [
      { "start": 0.0, "end": 0.5, "word": " Hello" },
      { "start": 0.5, "end": 1.5, "word": " world." }
    ]
  }
]

Segments without words are allowed; one VTT cue is emitted per segment using segment start, end, and text.

Output

WebVTT subtitle content: a WEBVTT header plus timestamped cues. Sentence boundaries are split on punctuation; the first letter of each cue is capitalized.

Example (from the input above):

WEBVTT

00:00:00.000 --> 00:00:01.500
Hello world

License

MIT — see LICENSE.