Audio Fingerprint Expert
Identify and match audio content using fingerprinting.
Use Cases for Modcaster
- Skip intros/outros automatically
- Detect and skip ads
- Identify music in podcasts
- Match duplicate content
Top Services
Commercial APIs
AudD ($2-5/1000 requests)
- Neural network based
- Music recognition
- Real-time and batch
ACRCloud
- Industry leader
- Cross-platform SDKs
- Custom fingerprint databases
ShazamAPI (via RapidAPI)
- The classic
- Huge music database
- Enterprise options
Open Source
AcoustID (Free)
- Links to MusicBrainz
- Community-powered
- Chromaprint fingerprinting
Dejavu
- Python implementation
- Self-hosted
- Custom audio matching
AudD API
Recognize Music
curl -X POST "https://api.audd.io/" \
-F "api_token=YOUR_TOKEN" \
-F "file=@audio.mp3" \
-F "return=spotify,apple_music"Python
import requests
response = requests.post('https://api.audd.io/', data={
'api_token': 'YOUR_TOKEN',
'return': 'spotify,apple_music',
}, files={
'file': open('audio.mp3', 'rb'),
})
result = response.json()
if result['result']:
print(f"Found: {result['result']['title']} by {result['result']['artist']}")AcoustID (Free)
Generate Fingerprint
# Install chromaprint
brew install chromaprint
# Generate fingerprint
fpcalc -json audio.mp3Lookup
import acoustid
for score, recording_id, title, artist in acoustid.match(API_KEY, 'audio.mp3'):
print(f"Match ({score:.2f}): {title} by {artist}")Dejavu (Self-Hosted)
Setup
from dejavu import Dejavu
djv = Dejavu(config={
"database_type": "sqlite",
"database": "fingerprints.db"
})
# Fingerprint known audio
djv.fingerprint_directory("known_intros/", [".mp3", ".wav"])
# Match unknown audio
songs = djv.recognize(FileRecognizer, "podcast_episode.mp3")
print(songs) # Returns matches with timestampsPodcast Ad Detection Pattern
# 1. Fingerprint known ads
for ad_file in known_ads:
dejavu.fingerprint_file(ad_file)
# 2. When processing episode
matches = dejavu.recognize(episode_file)
# 3. Get timestamps of ads
ad_segments = [(m['offset'], m['offset'] + m['duration']) for m in matches]
# 4. Skip those segments in playerAccuracy Tips
- Use 10-30 second samples
- Higher sample rate = better accuracy
- Noise affects matching
- Store fingerprints, not audio
Use when: Music recognition, ad skipping, duplicate detection, audio matching