Credits Validator catches on-screen credit errors at first QC — before they cascade into five-figure remediation costs.
A single credit error caught after distribution means re-rendering masters, regenerating IMF packages, updating localized versions, and redistributing. $15K average, $50K+ in worst cases.
Outsourced QC firms compare credits manually — scrolling text, hundreds of names, tiny font. Errors slip through constantly. Every. Single. Title.
Most credit errors are found after localization and IMF packaging, when fixes cascade across dozens of deliverables. The earlier you catch it, the cheaper it is.
Point to your proxy video file and drop in your reference docs (delivery manifests, credit sheets, spreadsheets)
OCR reads every frame of the credit sequence. Multi-frame consensus captures each name at peak clarity and eliminates false positives.
Every on-screen name and title is fuzzy-matched against your legal docs. Discrepancies flagged with timecodes and confidence scores.
Get a detailed report with annotated frame grabs, confidence scores, and one-click review workflow.
Native macOS app on Apple Silicon. Your pre-release content never leaves the building. No cloud uploads, no API calls with your footage.
All OCR processing runs on a local model installed on your machine. No internet connection required during scans — your footage and data never leave your hardware.
Annotated PDF reports with frame grabs, timecodes, confidence scores, and side-by-side reference comparisons. The kind of report a lawyer will sign.
No. Credits Validator is a native macOS app that runs entirely on your hardware. Pre-release content never leaves the building — no cloud uploads, no external API calls with your footage.
PDFs, Word documents (.docx), spreadsheets (CSV/XLSX), and plain text crew lists. We parse delivery manifests, union-submitted credit sheets, and production crew lists automatically.
96.9% verified on our benchmark suite. Any uncertain reads are flagged for human review with confidence scores and timecodes — no silent misses.
Yes. Multi-frame consensus means we read each name across multiple frames and pick the highest-confidence reading. Scrolling, static, card-based — all supported.
We're onboarding delivery & QC partners now. Drop your email and we'll reach out with a free pilot scan on your next title.
Credits Validator comes from 20+ years inside the machine — for major Hollywood studios and independent films. We've been the ones fixing credits at 2 AM. We built this so you don't have to.
From indie docs to studio tentpoles. We've managed credits QC on thousands of titles.
Designed around actual delivery pipelines — not theoretical features. Every detail reflects lessons from real productions.