WhitePrint AudioEngine
aimastering.tech
What it is
WhitePrint AudioEngine provides AI-powered audio analysis and mastering through a web interface and API, returning analysis data, mastered audio, or both. 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 advice and the reasoning behind the consensus. The mastering chain has 14 hybrid DSP stages, bypassed by default unless the AI directs otherwise. Users can compare original and mastered audio with an A/B player, inspect metric changes, and download a WAV file. WAV and FLAC inputs are supported, and direct processing can use 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 plan includes three WAV masters monthly and seven days of analysis history. Paid plan prices range from $54 a month to $5,506 a month.
Spec sheet
- What it does
- WhitePrint AudioEngine is a web platform that analyzes audio, uses AI deliberation to choose mastering settings, applies DSP, and returns a WAV master.Read 15 Oct 2026 · aimastering.tech
- Intended users
- The maker describes Standard as intended for producers who master regularly and Pro as intended for professional engineers and labels.Read 8 Oct 2026 · aimastering.tech
- Integrations
- The API is positioned for applications, DAW plugins, distribution platforms, and CI/CD pipelines.Read 15 Oct 2026 · aimastering.tech
- Security
- The privacy policy says data is encrypted in transit with TLS 1.3 and at rest with AES-256, and API keys are hashed after creation.Read 8 Oct 2026 · aimastering.tech
- Support
- The Standard plan includes email support, Pro includes priority support, API includes dedicated support and an SLA, and White Label includes 24/7 dedicated support with a 99.9% SLA.Read 8 Oct 2026 · aimastering.tech
- AI deliberation
- Three independent AI models provide mastering recommendations, and users can see each model’s recommendations and the reasoning behind the consensus.Read 8 Oct 2026 · aimastering.tech
- Analysis
- Its analysis stage measures BS.1770-4 loudness, LUFS, true peak, loudness range, crest factor, spectral balance, stereo width, and song sections.Read 15 Oct 2026 · aimastering.tech
- API authentication
- API requests use a Bearer key with the wpk_ prefix in the Authorization header.Read 15 Oct 2026 · aimastering.tech
- API errors
- Documented errors include invalid parameters, authentication failure, usage limits, unreachable or invalid audio, server errors, and a five-minute processing timeout.Read 15 Oct 2026 · aimastering.tech
- API inputs
- The mastering endpoint requires a direct audio URL and route, with optional LUFS, true-peak, and manual DSP parameters.Read 15 Oct 2026 · aimastering.tech
- API responses
- Full and DSP-only routes return WAV data, while analysis-only and deliberation-only routes return JSON.Read 15 Oct 2026 · aimastering.tech
- API routes
- The public API supports full mastering, analysis-only, deliberation-only, and DSP-only routes.Read 15 Oct 2026 · aimastering.tech
- 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.Read 8 Oct 2026 · aimastering.tech
- Audio retention
- Submitted audio is temporarily stored during processing, deleted within 24 hours after job completion, and not used to train AI models.Read 8 Oct 2026 · aimastering.tech
- Cloud inputs
- Audio can be fetched from Google Drive, Dropbox, OneDrive, Amazon S3, or Google Cloud Storage URLs.Read 15 Oct 2026 · aimastering.tech
- Cloud integrations
- The service accepts links from Google Drive, Dropbox, OneDrive, Amazon S3, and Google Cloud Storage for direct processing.Read 8 Oct 2026 · aimastering.tech
- Data handling
- The architecture page states that files are deleted immediately after processing and are not kept in persistent storage.Read 15 Oct 2026 · aimastering.tech
- Deliberation transparency
- The interface exposes each model recommendation, the consensus result, rationale, and confidence information.Read 15 Oct 2026 · aimastering.tech
- Developer documentation
- Documentation includes a quickstart, endpoint reference, code examples link, and a technical specification.Read 15 Oct 2026 · aimastering.tech
- DSP chain
- The mastering engine advertises a 14-stage hybrid chain covering gain, EQ, compression, saturation, stereo processing, limiting, and dithering.Read 15 Oct 2026 · aimastering.tech
- DSP mastering
- The mastering chain uses 14 hybrid DSP stages, with processing stages bypassed by default unless the AI instructs otherwise.Read 8 Oct 2026 · aimastering.tech
- Free tier limit
- The Free plan includes three WAV masters per month and seven days of analysis history.Read 8 Oct 2026 · aimastering.tech
- Independent API details
- The GitHub project documents POST endpoints for analysis, full mastering, deliberation-only processing, and explicit-parameter mastering.Read 15 Oct 2026 · github.com
- Independent architecture description
- The GitHub project describes the integrated pipeline as analysis, three-model deliberation, and a 14-stage analog-modeled DSP chain.Read 15 Oct 2026 · github.com
- 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.Read 15 Oct 2026 · github.com
- Independent documentation depth
- The GitHub project includes setup steps, Swagger UI availability, API examples, parameter descriptions, and DSP-stage explanations.Read 15 Oct 2026 · github.com
- 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.Read 15 Oct 2026 · github.com
- Independent repository activity
- The GitHub repository page shows one star, zero forks, and two commits.Read 15 Oct 2026 · github.com
- Independent repository origin
- A public GitHub project says it integrates four previously separate WhitePrint AudioEngine microservices into one deployable application.Read 15 Oct 2026 · github.com
- Infrastructure
- The technical specification describes stateless services deployed on Google Cloud Run with Cloud Storage and Supabase components.Read 15 Oct 2026 · aimastering.tech
- Limit: API cost
- API access is restricted to a high-priced plan shown at $2,196 per month or $2,745 per month without the annual discount.Read 15 Oct 2026 · aimastering.tech
- Limit: API quota
- The API plan includes 1,000 calls per month and documents $0.07 per-call overage.Read 15 Oct 2026 · aimastering.tech
- Limit: no reference matching stated
- The maker feature pages describe analysis and section processing but do not state reference-track matching or stem mastering.Read 15 Oct 2026 · aimastering.tech
- Multi-model AI
- Three independent models from OpenAI, Anthropic, and Google propose mastering parameters and a consensus process produces the final values.Read 15 Oct 2026 · aimastering.tech
- Neutral defaults
- DSP stages start bypassed or neutral and are activated only when the AI-directed parameters call for processing.Read 15 Oct 2026 · aimastering.tech
- No native apps listed
- The maker pages present WhitePrint as a web application and API and do not list Windows, macOS, Linux, iOS, Android, or browser-extension clients.Read 15 Oct 2026 · aimastering.tech
- Other URL sources
- The About page also lists Suno and SoundCloud among supported URL platforms.Read 8 Oct 2026 · aimastering.tech
- Output and comparison
- Users can compare original and mastered audio with an A/B player, inspect before/after metrics, and download WAV output.Read 15 Oct 2026 · aimastering.tech
- Results
- Users can compare the original and mastered audio with an A/B player, inspect before-and-after metrics, and download a WAV file.Read 8 Oct 2026 · aimastering.tech
- Runtime stack
- The listed implementation stack includes Python 3.12, FastAPI, NumPy, SciPy, Spotify Pedalboard/JUCE, Next.js, React, and Tailwind CSS.Read 15 Oct 2026 · aimastering.tech
- Section processing
- Different mastering parameter sets can be applied to detected intro, verse, chorus, bridge, and outro sections.Read 15 Oct 2026 · aimastering.tech
- Security controls
- The specification states that private IP and metadata-server requests are blocked for SSRF protection and that services use OIDC authentication internally.Read 15 Oct 2026 · aimastering.tech
Plans and prices
Strong points and limits
Strong points
- Measures six audio characteristics in analysis.
- Shows recommendations from three AI models.
- Allows A/B listening and WAV downloads.
- Free plan includes three WAV masters monthly.
Limits
- Free plan has seven days of analysis history.
- Standard plan is $54 a month.
- Submitted audio is temporarily stored during processing.
Who it suits
AudioEngine suits people seeking browser-based audio analysis and mastering, or developers integrating those operations through an API. The maker identifies Standard for regular mastering and Pro for professional engineers and labels.
Verdict
AudioEngine exposes analysis measurements, model recommendations, and mastering results for review, with web and API options. Compare the plan allowances and API needs with your intended workflow.
Where Specifiction places it
- AI mastering tools#10 of 508.3