WhitePrint AudioEngine
WhitePrint AudioEngine provides AI-powered audio analysis and mastering through a web interface and REST API.
What WhitePrint AudioEngine is
WhitePrint AudioEngine provides AI-powered audio analysis and mastering through a web interface and REST API. Its BS.1770-4 analysis measures LUFS, true peak, loudness range, crest factor, spectral balance and stereo width. Three independent AI models make mastering recommendations, and users can inspect each model’s suggestions and the reasoning behind their consensus. Mastering uses 14 hybrid DSP stages, which remain bypassed unless directed by the AI. Users can compare original and mastered audio in an A/B player, review before-and-after metrics and download WAV files. The service accepts WAV and FLAC inputs and can process links from Google Drive, Dropbox, OneDrive, Amazon S3 and Google Cloud Storage; Suno and SoundCloud are also listed as URL sources. API routes support full mastering, analysis-only, deliberation-only and DSP-only tasks. Submitted audio is deleted within 24 hours after job completion and is not used to train AI models. The free tier provides three WAV masters monthly and seven days of analysis history. A 14-day trial is available.
Good
- Measures six audio characteristics, including LUFS and true peak.
- Users can review recommendations from three AI models.
- Includes an A/B player and WAV download.
- Accepts WAV and FLAC inputs.
- Submitted audio is deleted within 24 hours after completion.
Watch out
- Free tier allows three WAV masters monthly.
- Free analysis history lasts seven days.
- Standard costs $54 a month.
Who it suits
It suits producers and audio professionals seeking browser-based analysis and mastering, or developers looking to use the REST API. The free tier is limited to three WAV masters per month.
Verdict
WhitePrint AudioEngine combines audio measurement, AI recommendations and DSP mastering, with a separate REST API for several processing routes. The free allowance is small, so check the listed paid plans if you need more monthly masters.
Plans and prices
From WhitePrint AudioEngine's own pricing page, checked 15 Oct 2026.
| Plan | Price | What it gives you |
|---|---|---|
| Free | Free | 3 WAV masters/month · BS.1770-4 analysis · 3-model deliberation · section mastering · A/B player · metrics dashboard |
| Standard | $54 a month | 30 WAV masters/month · custom LUFS/true-peak targets · 90-day history · email support |
| Standard | $648 a year | 30 WAV masters/month · custom LUFS/true-peak targets · 90-day history · email support · billed annually; save $156 |
| Pro | $1,092 a month | Unlimited masters · DSP overrides · batch up to 10 tracks · priority queue · unlimited history · priority support |
| API | $2,196 a month | REST API · webhooks · 1,000 calls/month · unlimited batch · custom LLM selection · SLA · SSO/team management |
| White Label | $5,506 a month | Custom brand UI · custom domain · unlimited API calls · dedicated infrastructure · custom DSP chain · custom prompts · 24/7 support · 99.9% SLA |
| Pro | $13,104 a year | Unlimited masters · DSP overrides · batch up to 10 tracks · priority queue · unlimited history · priority support · billed annually; save $3,276 |
| API | $26,352 a year | REST API · webhooks · 1,000 calls/month · unlimited batch · custom LLM selection · SLA · SSO/team management · billed annually; save $6,588 |
| White Label | $66,072 a year | Custom brand UI · custom domain · unlimited API calls · dedicated infrastructure · custom DSP chain · custom prompts · 24/7 support · 99.9% SLA · billed annually; save $16,524 |
The facts
Each one read from WhitePrint AudioEngine's own pages, with the date it was checked.
What it does
- AI deliberation
- Three independent AI models provide mastering recommendations, and users can see each model’s recommendations and the reasoning behind the consensus.checked 8 Oct 2026
- Analysis
- Its analysis stage measures BS.1770-4 loudness, LUFS, true peak, loudness range, crest factor, spectral balance, stereo width, and song sections.checked 15 Oct 2026
- API authentication
- API requests use a Bearer key with the wpk_ prefix in the Authorization header.checked 15 Oct 2026
- API errors
- Documented errors include invalid parameters, authentication failure, usage limits, unreachable or invalid audio, server errors, and a five-minute processing timeout.checked 15 Oct 2026
- API inputs
- The mastering endpoint requires a direct audio URL and route, with optional LUFS, true-peak, and manual DSP parameters.checked 15 Oct 2026
- API responses
- Full and DSP-only routes return WAV data, while analysis-only and deliberation-only routes return JSON.checked 15 Oct 2026
- API routes
- The public API supports full mastering, analysis-only, deliberation-only, and DSP-only routes.checked 15 Oct 2026
- API use
- The REST API supports full mastering, analysis-only, deliberation-only, and DSP-only routes, and the maker describes use in applications, DAW plugins, distribution platforms, and CI/CD pipelines.checked 8 Oct 2026
- Audio retention
- Submitted audio is temporarily stored during processing, deleted within 24 hours after job completion, and not used to train AI models.checked 8 Oct 2026
- Cloud inputs
- Audio can be fetched from Google Drive, Dropbox, OneDrive, Amazon S3, or Google Cloud Storage URLs.checked 15 Oct 2026
- Cloud integrations
- The service accepts links from Google Drive, Dropbox, OneDrive, Amazon S3, and Google Cloud Storage for direct processing.checked 8 Oct 2026
- Data handling
- The architecture page states that files are deleted immediately after processing and are not kept in persistent storage.checked 15 Oct 2026
- Deliberation transparency
- The interface exposes each model recommendation, the consensus result, rationale, and confidence information.checked 15 Oct 2026
- Developer documentation
- Documentation includes a quickstart, endpoint reference, code examples link, and a technical specification.checked 15 Oct 2026
- DSP chain
- The mastering engine advertises a 14-stage hybrid chain covering gain, EQ, compression, saturation, stereo processing, limiting, and dithering.checked 15 Oct 2026
- DSP mastering
- The mastering chain uses 14 hybrid DSP stages, with processing stages bypassed by default unless the AI instructs otherwise.checked 8 Oct 2026
- Independent API details
- The GitHub project documents POST endpoints for analysis, full mastering, deliberation-only processing, and explicit-parameter mastering.checked 15 Oct 2026
- Independent architecture description
- The GitHub project describes the integrated pipeline as analysis, three-model deliberation, and a 14-stage analog-modeled DSP chain.checked 15 Oct 2026
- Independent deployment requirements
- The GitHub project lists Python 3.10+, Node.js 18+, Google Cloud authentication, and API keys for OpenAI, Anthropic, and Google services.checked 15 Oct 2026
- Independent documentation depth
- The GitHub project includes setup steps, Swagger UI availability, API examples, parameter descriptions, and DSP-stage explanations.checked 15 Oct 2026
- Independent license
- The GitHub integration project is marked MIT licensed, but the hosted WhitePrint AudioEngine service itself is not declared open source on its maker pages.checked 15 Oct 2026
- Independent repository activity
- The GitHub repository page shows one star, zero forks, and two commits.checked 15 Oct 2026
- Independent repository origin
- A public GitHub project says it integrates four previously separate WhitePrint AudioEngine microservices into one deployable application.checked 15 Oct 2026
Money
- Free tier limit
- The Free plan includes three WAV masters per month and seven days of analysis history.checked 8 Oct 2026
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