# Speech audio quality checker
Paste a short WAV clip as base64 or hex and check ASR readiness: sample rate, channels, SNR estimate, clipping, level, and verdict.
## Run it
- **CLI:** `gizza tool speech-audio-quality-checker "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"`
- **Web:** https://gizza.ai/tools/speech-audio-quality-checker/
- **Agents:** machine-readable descriptor (parameters JSON Schema) at https://gizza.ai/tools/speech-audio-quality-checker/tool.json
## Inputs
- `input` — WAV bytes (base64 or hex) _(field)_
- `input_format` — Input encoding _(field)_
- `output` — Output format _(field)_
- `target_sample_rate` — Target sample rate (Hz) _(field)_
- `min_snr_db` — Minimum SNR (dB) _(field)_
- `max_clipping_pct` — Max clipping (%) _(field)_
- `clipping_threshold` — Clipping threshold (full scale) _(field)_
## Output
- Quality report (text)
## Query parameters
Open the tool pre-filled and auto-run via URL:
- `input` — WAV bytes (base64 or hex)
- `input_format` — Input encoding
- `output` — Output format
- `target_sample_rate` — Target sample rate (Hz)
- `min_snr_db` — Minimum SNR (dB)
- `max_clipping_pct` — Max clipping (%)
- `clipping_threshold` — Clipping threshold (full scale)
Example: `https://gizza.ai/tools/speech-audio-quality-checker/?input=UklGRmQGAABXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAZGF0YUAGAAAAAOkSIiQhMqY71j9TPj43OitZGwgJ6PWu4%2FzTOchxwUDAwMSMzsLcH%2B4TAfATBCXLMgc85z8SPrE2bSpfGvYH2PS44jbTtMc5wVrAK8U9z6rdKO8mAvUU5CVwM2U89D%2FMPSA2nSljGeUGyvPF4XPSM8cGwXnAmcXxz5PeMvA6A%2FgVwCYSNL08%2FD%2BDPYs1yyhmGNMFvPLT4LPRtsbXwJ3ADMao0H%2FfPvFNBPoWmiexNBI9%2Fz80PfI09SdmF8AEr%2FHj3%2FfQPcatwMXAg8Zj0W7gSvJfBfoXcShLNWI9%2Fj%2FiPFU0HCdlFq0Do%2FD23j7QycWIwPLA%2FsYi0l%2FhWPNyBvkYRSniNa49%2BD%2BKPLUzQSZiFZoCmO8M3ojPWcVnwCPBfcfk0lLiZvSDB%2FYZFip0NvU97T8vPBEzYyVeFIcBju4j3dbO7cRKwFnBAcip00fjdvWVCPEa5CoDNzg%2B3j%2FPO2kygiRYE3MAhu0%2B3CfOhcQzwJTBiMhx1D7khvalCekbryuON3Y%2Byj9rO70xniNQEmH%2Ff%2Bxa23zNIcQgwNLBE8k81Tfll%2Fe1CuAcdywVOLA%2BsT8DOw4xuCJIEU3%2Beet62tXMwsMRwBbCo8kL1jLmqPjFC9UdOy2XOOU%2BlD%2BWOlwwzyE%2BEDr9deqc2THMZ8MHwF7CNsrc1i%2FnuvnTDMge%2FS0WORY%2Fcz8lOqUv5CAzDyf8cunB2JLLEcMCwKrCzcqx1y7ozPrgDbgfui6QOUI%2FTD%2BwOewu9x8nDhT7cejp1%2FbKv8IBwPvCaMuI2C%2Fp3%2FvtDqYgdS8HOmk%2FIj82OS8uBx8aDQL6cucU113KccIFwFDDB8xi2THq8vz4D5IhLDB5Oow%2F8j65OG4tFR4MDPD4dOZB1snJKMIOwKrDqsw%2F2jXrBf4CEXsi4DDmOqo%2Fvj43OKssIR39Ct73eeVy1TnJ5MEbwAjEUM0f2zrsGf8LEmIjkDFQO8Q%2Fhj6yN%2BQrKhztCc32fCL31h%2BPd0yTIaMFEwNHEqM7n3EnuPwEZFCgl5TIWPOk%2FBz6aNk0qOBrLB630kuIX05%2FHMcFfwDzFWc%2FO3VLvUgIeFQcmijNzPPU%2FwT0INnwpOxm5Bp%2FznuFU0h%2FH%2FsB%2FwKvFDtC53l3wZQMhFuMmLDTLPPw%2Fdj1zNakoPRinBZHyreCV0aPG0MCjwB%2FGxtCl32jxeAQjF7wnyTQfPf8%2FJz3ZNNMnPheVBITxvt%2FZ0CvGp8DMwJbGgdHw%2F%2Fr%2FAgAMABQAGwAfACAAHwAaABMACwABAPn%2F8P%2Fo%2F%2BP%2F4P%2Fg%2F%2BP%2F6f%2Fx%2F%2Fr%2FAwAMABUAGwAfACAAHgAaABMACgABAPj%2F7%2F%2Fo%2F%2BL%2F4P%2Fg%2F%2BT%2F6f%2Fx%2F%2Fv%2FAwANABUAGwAfACAAHgAaABMACgAAAPf%2F7%2F%2Fn%2F%2BL%2F4P%2Fg%2F%2BT%2F6v%2Fy%2F%2Fv%2FBAANABYAHAAfACAAHgAZABIACQAAAPf%2F7v%2Fn%2F%2BL%2F4P%2Fh%2F%2BT%2F6v%2Fy%2F%2Fz%2FBQAOABYAHAAfACAAHgAZABIACQAAAPb%2F7v%2Fn%2F%2BL%2F4P%2Fh%2F%2BT%2F6%2F%2Fz%2F%2Fz%2FBQAOABYAHAAgACAAHgAZABEACAAAAPb%2F7f%2Fm%2F%2BL%2F4P%2Fh%2F%2BX%2F6%2F%2Fz%2F%2F3%2FBgAPABcAHQAgACAAHQAYABEACAD%2F%2F%2FX%2F7f%2Fm%2F%2BH%2F4P%2Fh%2F%2BX%2F7P%2F0%2F%2F3%2FBgAPABcAHQAgACAAHQAYABAABwD%2B%2F%2FX%2F7P%2Fm%2F%2BH%2F4P%2Fh%2F%2BX%2F7P%2F0%2F%2F7%2FBwAQABcAHQAgACAAHQAXABAABwD%2B%2F%2FT%2F7P%2Fl%2F%2BH%2F4P%2Fh%2F%2Bb%2F7P%2F1%2F%2F7%2FBwAQABgAHQAgACAAHQAXAA8ABgD9%2F%2FT%2F6%2F%2Fl%2F%2BH%2F4P%2Fh%2F%2Bb%2F7f%2F1%2F%2F%2F%2FCAARABgAHQAgACAAHQAXAA8ABgD9%2F%2FP%2F6%2F%2Fl%2F%2BH%2F4P%2Fi%2F%2Bb%2F7f%2F2%2FwAACAARABkAHgAgACAAHAAWAA4ABQD8%2F%2FP%2F6%2F%2Fk%2F%2BH%2F4P%2Fi%2F%2Bf%2F7v%2F2%2FwAACQASABkAHgAgAB8AHAAWAA4ABAD8%2F%2FL%2F6v%2Fk%2F%2BH%2F4P%2Fi%2F%2Bf%2F7v%2F3%2FwAACQASABkAHgAgAB8AHAAWAA0ABAD7%2F%2FL%2F6v%2Fk%2F%2BD%2F4P%2Fi%2F%2Bf%2F7%2F%2F4%2FwAACgATABoAHgAgAB8AGwAVAA0AAwD7%2F%2FH%2F6f%2Fk%2F%2BD%2F4P%2Fi%2F%2Bj%2F7%2F%2F4%2FwEACgATABoA&input_format=base64&output=report&target_sample_rate=16000&min_snr_db=20&max_clipping_pct=1.0&clipping_threshold=0.99`
---
## About this tool
Paste a short uncompressed WAV recording and this tool checks whether it is ready
for speech-to-text / ASR. It decodes the actual audio bytes in WebAssembly, then
reports the sample rate, channel count, duration, peak and RMS dBFS, an estimated
signal-to-noise ratio, clipped-sample percentage, longest clipped run, and an
overall readiness verdict.
Use it before sending a representative clip to a transcription system. The
default thresholds match common ASR guidance: 16 kHz or better, mono preferred,
about 20 dB or better SNR, and no more than 1% clipped samples. You can tighten or
relax those thresholds when your pipeline has different requirements.
### Worked example
The built-in example is a tiny 16 kHz mono PCM WAV with loud speech-like frames
and quiet background frames. With default settings, the report includes:
```text
[PASS] Sample rate
[PASS] Channels
Verdict: READY for ASR / transcription
```
Switch **Output format** to `json` when you need machine-readable metrics such as
`sample_rate`, `snr_db`, `clipping_pct`, and `verdict`.
### Limits and edge cases
- This pure browser tool decodes uncompressed RIFF/WAVE only: PCM 8/16/24/32-bit
integer and IEEE-float WAV. Convert MP3, AAC/M4A, FLAC, Ogg/Opus, A-law, or
mu-law to PCM WAV first.
- Paste short representative clips rather than multi-hour recordings; base64 text
grows about 33% larger than the binary file.
- SNR is a percentile estimate from 20 ms frame levels, not a voice-activity or
perceptual speech-quality model.
- Everything runs locally in the browser; the audio text you paste is not
uploaded.
## FAQ
What audio formats does this checker support?
It supports uncompressed RIFF/WAVE files: PCM 8-bit, 16-bit, 24-bit, and 32-bit
integer WAV, plus IEEE 32-bit and 64-bit float WAV. Compressed containers such as
MP3, AAC/M4A, FLAC, Ogg/Opus, A-law, and mu-law are rejected with a clear message
so the result is not guessed.
How is SNR estimated?
The tool downmixes the clip to mono, splits it into 20 ms frames, measures each
frame's RMS level, and subtracts the 10th-percentile level from the 90th-percentile
level. That gives a useful noise-floor estimate for quick preflight checks, but it
is not a true speech/non-speech SNR because no voice-activity model runs here.
Why does stereo audio warn instead of fail?
Most ASR systems downmix to mono internally. Stereo usually increases file size
without improving transcription accuracy, so the checker marks it as a warning:
still usable, but worth downmixing before batch transcription.
Can I upload a .wav file directly?
This generic page uses pasted base64 or hex text rather than a file picker. Run a
command such as `base64 clip.wav`, paste the output into the input box, and leave
**Input encoding** set to `base64`.
## Related tools
- [Convert an Audio File](https://gizza.ai/tools/audio-convert/): Convert any audio file to MP3, WAV, OGG, FLAC or M4A right in your browser — pick a bitrate for lossy formats. Runs locally, nothing is uploaded, free.
- [Change Audio Speed (Keep Pitch)](https://gizza.ai/tools/audio-time-stretch/): Free online audio speed & tempo changer — speed up or slow down any track without changing the pitch. Set a factor, BPM ratio, or percentage in your browser.
- [Extract Audio from a Video](https://gizza.ai/tools/extract-audio-from-video/): Pull the audio track out of any video as MP3 or WAV, right in your browser — pick a format and bitrate. Runs locally with ffmpeg, nothing is uploaded, free.
- [Convert a Voice Note](https://gizza.ai/tools/voice-note-converter/): Convert WhatsApp, Telegram, Signal and other Opus/Ogg voice notes to MP3 or WAV, or encode audio back to Opus voice notes in your browser.
- [Convert AIFF to FLAC](https://gizza.ai/tools/aiff-to-flac/): Convert AIFF or AIF audio to lossless FLAC in your browser — preserve samples and textual tags, choose FLAC compression level 0-12, and download the result.