Field utility / 01
Carry the whole night.
Open only a window.
Nightjar Slicer turns multi-gigabyte WAV and FLAC recordings into a quiet, resumable queue for the bird analyzer you already use.
- 01 Streaming memory
- 02 Resume checkpoints
- 03 No upload
Input
4 GB / 11:42:18
One original recording
Output
235 × 03:00
WAV clips + queue manifest
The handoff before the model
Make the recording manageable, not mysterious.
BirdNET can identify sound. Nightjar handles the awkward scale and file preparation that comes first.
-
01
Inspect the header
See duration, channels, sample rate, and size without loading the recording into a GUI.
-
02
Choose the cuts
Use exact intervals or nudge each boundary to the quietest nearby half-second.
-
03
Resume the queue
Completed clips are verified and reused. A stopped batch continues without repeating extraction.
Local planning desk
Try your WAV header here.
The browser reads a small header slice only. Nothing leaves this device. FLAC and silence-aware planning are available in the CLI.
No recording selected
Choose a WAV to preview its time ranges and a privacy-safe manifest.
Reading the field header…
Plan ready
| Clip | Start | End | Status |
|---|
Version 0.1.0 / MIT
A single local tool.
No model, no cloud.
Build with stable Rust today. Release binaries can be dropped anywhere on your path.
cargo install --git https://github.com/B-Divyesh/sf-bird-audio-slicer
nightjar slice NIGHT.WAV --output ./queue --mode silence
A useful boundary
Nightjar prepares evidence. It does not decide what sang.
No BirdNET weights, accuracy claims, public reports, accounts, or location metadata are bundled.