Prepare audio for AI in seconds
Clean, normalize, and format audio before sending to Whisper, Deepgram, or OpenAI. No login required to start.
Bad audio reduces ASR accuracy and costs you money
Noisy recordings
Background noise destroys transcription accuracy, forcing costly manual corrections.
Inconsistent levels
Volume variations mean some speakers are missed entirely in transcripts.
Wrong format
MP3, stereo, or 44kHz files waste credits and slow down processing.
Result: 40% lower transcription accuracy, 3x higher processing costs, and hours of manual cleanup
Lower
Accuracy
AudioPrep API prepares your audio before AI analysis
Clean, normalize, and format any audio file into ASR-ready 16kHz mono WAV with one API call. Works with Whisper, Deepgram, OpenAI, and more.
How it works in 3 steps
Upload any audio
MP3, WAV, M4A, or FLAC with any sample rate
Process automatically
Clean noise, trim silence, normalize levels
Get ASR-ready audio
16kHz mono WAV optimized for AI transcription
Quick integration example
Returns: Clean, normalized WAV file ready for Whisper, Deepgram, or OpenAI
Response time: ~2 seconds average
5 free credits to get started
Built for developers who ship
Everything you need to prepare audio for AI analysis in one clean API
Noise Removal
Advanced RNNoise technology removes background noise without affecting speech quality
Silence Trimming
WebRTC VAD intelligently identifies and removes empty gaps to reduce file size
Loudness Normalization
LUFS-based normalization ensures consistent volume across all audio segments
Format Conversion
Convert any format to 16kHz mono WAV optimized for ASR systems
Channel Splitting
Separate stereo channels into left/right tracks for independent processing
REST API
Simple REST endpoints with webhook support for async processing
Upload. Clean. Convert. Analyze.
Four simple steps to transform any audio file into AI-ready data
Upload
Send any audio file via REST API or drag-and-drop interface. Supports MP3, WAV, M4A, FLAC, and more.
Clean
Advanced noise removal and silence trimming using industry-leading algorithms. No manual work required.
Convert
Automatic format conversion to 16kHz mono WAV optimized for AI transcription services.
Analyze
Send clean audio directly to Whisper, Deepgram, or OpenAI for transcription with improved accuracy.
Visual workflow
Built for every audio workflow
From podcast production to call center analytics, AudioPrep API scales with your needs
Podcast Pre-processing
Content creators
Clean and normalize podcast episodes before transcription. Ensure consistent audio quality across all episodes.
Call Center Pipelines
Enterprise teams
Process thousands of customer calls daily. Improve transcription accuracy for compliance and analytics.
Transcription Workflows
AI teams
Prepare large datasets for training and inference. Standardize audio across different sources and formats.
Subtitle Generation
Video creators
Generate accurate subtitles for videos in multiple languages. Perfect for YouTube creators and media companies.
Process your first 5 files free
Integrate in minutes, not days
Clean API design that works with any stack. Copy-paste examples for your language.
cURL
Popularcurl -X POST https://api.audioprep.dev/v1/prepare \
-H "Authorization: Bearer YOUR_API_KEY" \
-F "file=@/path/to/audio.mp3" \
-F "output_format=wav" \
-F "sample_rate=16000" \
-F "normalize=true"Python
SDKimport audioprep
client = audioprep.Client(api_key="YOUR_API_KEY")
result = client.prepare(
file="audio.mp3",
output_format="wav",
sample_rate=16000,
normalize=True
)
print(result.url) # Clean audio ready for AIJavaScript
Node.jsconst AudioPrep = require('audioprep');
const client = new AudioPrep('YOUR_API_KEY');
const result = await client.prepare({
file: fs.createReadStream('audio.mp3'),
outputFormat: 'wav',
sampleRate: 16000,
normalize: true
});
console.log(result.url); // Clean audio ready for AIResponse
{
"id": "prep_123456",
"status": "completed",
"input": {
"filename": "audio.mp3",
"duration": 180.5,
"size": 2870000
},
"output": {
"url": "https://cdn.audioprep.dev/clean/audio_123.wav",
"duration": 175.2,
"size": 2800000,
"format": "wav",
"sample_rate": 16000
},
"processing_time": 1.2
}No-code platforms
Works with Zapier, n8n, Pipedream, Make, and more. No coding required.
Simple, transparent pricing
Start free, scale as you grow. No hidden fees or complicated tiers.
Free
Perfect for testing and small projects
- 5 files per month
- All features included
- No credit card required
- Community support
Pro
Perfect for growing teams
- 100 files per month
- Priority processing
- Webhook support
- Email support
Scale
For high-volume processing
- 500 files per month
- Batch processing
- Priority support
- Custom integrations
Need more? Contact us for custom enterprise pricing.
Trusted by developers worldwide
See how teams are using AudioPrep API to build better audio workflows
Sarah Chen
Lead Engineer, TechFlow
"AudioPrep API reduced our transcription costs by 40% and improved accuracy significantly. The webhook integration made it trivial to add to our existing pipeline."
Marcus Rodriguez
CTO, VoiceLabs
"Processing 10,000+ podcast episodes monthly was impossible before AudioPrep. Now our transcription accuracy is consistently above 95%."
Emily Watson
Data Scientist, AI Research
"The API design is exactly what you want from a modern service. Clean, fast, and reliable. Saved us weeks of development time."
David Park
Senior Developer, StreamFlow
"Integration took 15 minutes. Processing time went from 30s to 2s per file. Worth every penny for our scale."
Lisa Zhang
Product Manager, CallCenterAI
"Reduced our transcription costs by 60% while improving accuracy. The webhook support is flawless for our workflow."
Alex Kumar
Founder, PodcastAI
"Processing 500+ episodes daily with zero downtime. The API reliability is incredible for our business."