blink-new Blink Transcribe (Speech-to-Text)
Transcribe audio files using Blink AI (Whisper). No API key setup needed — charged to your Blink workspace credits.
Transcribe a local file (most common — agent has the file on disk)
blink ai transcribe /data/recording.mp3
blink ai transcribe /tmp/voice_note.wav
blink ai transcribe /data/meeting.m4a --language en
Transcribe a public URL
blink ai transcribe "https://example.com/podcast.mp3"
blink ai transcribe "https://example.com/lecture.mp3" --language fr
Save transcript to file
blink ai transcribe "https://example.com/meeting.mp3" | \
python3 -c "import json,sys; print(json.load(sys.stdin)['text'])" > /data/transcript.txt
Get transcript with timestamps
RESULT=$(blink ai transcribe "https://example.com/audio.mp3")
echo "$RESULT" | python3 -c "
import json, sys
data = json.load(sys.stdin)
print('=== Transcript ===')
print(data['text'])
print()
print('=== Segments ===')
for seg in (data.get('segments') or []):
print(f\"[{seg['start']:.1f}s - {seg['end']:.1f}s] {seg['text']}\")
"
Supported audio formats
mp3, wav, ogg, m4a, webm, flac, aac — local files or public HTTPS URLs
Common use cases
- "Transcribe this Zoom recording" → transcribe audio URL
- "Convert this voice note to text" → transcribe, print text
- "What did they say in this podcast episode?" → transcribe + summarize
- "Transcribe my meeting notes" → transcribe, save to file