Check the mark yourself
chatFlow marks AI voices with AudioSeal, an open method by Meta (MIT license). This is how you check a file on your own computer, without our site.
1. Install the tool (Python 3):
pip install "audioseal>=0.2.0" soundfile 2. Convert the recording to mono at 16 kHz:
ffmpeg -i aufnahme.mp3 -ac 1 -ar 16000 pruefen.wav 3. Check:
import sys, soundfile as sf, torch
from audioseal import AudioSeal
CHATFLOW = "1011001011100101"
wav, sr = sf.read(sys.argv[1], dtype="float32")
x = torch.from_numpy(wav)[None, None, :]
detector = AudioSeal.load_detector("audioseal_detector_16bits")
for d in range(0, 320, 4):
anteil, bits = detector.detect_watermark(x[..., d:], sample_rate=sr)
nachricht = "".join(str(b) for b in (bits[0] > 0.5).int().tolist())
if float(anteil) > 0.5 and nachricht == CHATFLOW:
print(f"chatFlow ({float(anteil):.2f}, {d})")
break
else:
print("-") python pruefen.py pruefen.wav Our mark always carries the same 16-bit message: 1011001011100101. It counts as found when more than half of the frames are above 0.5 and all 16 bits match.
Why the loop: the network works in steps of 320 samples. A freely cut piece usually sits beside this grid; without shifting it is often not detected.