QC that never sleeps.
Multi-pass AI analysis — on demand, or automatic on every upload with auto-review — flags technical issues and quality concerns. Get a prioritised report with timestamped findings in minutes, not hours.
How it works
Upload your video
Drop any format into RecReview and encoding starts instantly.
AI analysis runs
On demand or automatically with auto-review — audio, black and flash frames, on-screen text, script adherence, and dozens of checks in the background.
Review timestamped findings
A prioritised list of issues linked to exact frames appears in the player.
Ship with confidence
Fix what matters, approve, and deliver knowing every frame was checked.
Capabilities
Automated QC
Audio clipping, black frames, flash frames, colour banding, and more.
Quality Scoring
Overall, technical, text, and messaging scores per video.
Client Preference Memory
The AI learns each client's recurring notes and applies them per client.
Severity Ratings
Issues ranked so your team triages effectively.
Shareable Reports
Attach validation reports to delivery emails or client portals.
Automation Triggers
Route videos back to the editor when critical issues are detected.
Automated Technical Analysis
Request an AI analysis on any video — or enable auto-review in your workspace settings and every new upload is analyzed automatically. The engine examines audio levels, black and frozen frames, flash frames, on-screen text and captions, script adherence, and dozens of other technical parameters without requiring any manual setup or checklists.
The analysis generates a detailed report with timestamped issues, severity ratings, and actionable descriptions. Instead of scrubbing through an entire timeline looking for problems, your team gets a prioritized list of exactly what needs attention and where.
Results are available within minutes, not hours. Whether you are reviewing a 30-second social clip or a 90-minute documentary cut, the AI scales to match your content without slowing your pipeline.
Issue Detection Across Categories
RecReview detects issues across multiple categories including audio clipping and loudness problems, black frames, freezes, flash frames, long silences, color banding, interlacing artifacts, and misspelled on-screen text. Each issue is classified by severity so your team can triage effectively.
Loudness, peaks, black frames, freezes, banding and interlacing are measured on the file, not guessed, and the AI also reads on-screen text and captions in context and checks the cut against the script when one is attached. Every analysis ends with a plain-language summary that helps producers decide whether a cut is ready for client review.
The AI also learns each client's preferences from the feedback they give — recurring notes about pacing, color, or brand details are remembered and applied to that client's future reviews, and you can see and edit what it has learned in the client profile. Learn more about video quality control best practices.
Validation Reports and Transcripts
Each analysis produces a validation checklist — which checks passed and which failed — alongside the timestamped issue list. Together they give producers a fast, objective gauge of where a video stands before sending it out for review.
The report can be exported as a PDF for stakeholders who need a summary without watching the full cut, and clients see the AI findings in their portal unless you choose to hide them.
Every analysed video also gets a word-level transcript: click any word to jump the player to that exact moment, and find videos later by what was said in them through the global search. For a deeper look at automated checks, explore video QC automation.
Seamless Integration With Your Workflow
With auto-review enabled, AI analysis runs in the background as part of the standard upload flow — no extra steps, no separate tools to open, no waiting for a team member to run a manual check. Prefer control over your AI minutes? Leave it off and trigger the analysis per video with one click.
Results feed directly into the review interface, so reviewers can jump from an AI-flagged issue straight to the relevant timecode in the player. This tight integration means your team addresses problems in context rather than cross-referencing spreadsheets with timeline positions.
Combine AI analysis with workflow automation to trigger status changes, notifications, or blocker assignments when critical issues are detected. A video that fails loudness compliance can automatically be flagged and routed back to the editor.
Frequently asked questions
What types of issues does the AI detect?
The AI detects technical issues like audio clipping and loudness problems, black frames, freezes, flash frames, color banding, interlacing, and misspelled on-screen text. When a script is attached, it also checks whether the cut follows it.
How long does the AI analysis take?
Analysis time depends on video length, but most videos are fully analyzed within a few minutes. Short social clips typically complete in under a minute. The analysis runs in the background so it never blocks your team from starting their review.
Can I control how the AI review runs?
You choose when it runs — on demand per video, or automatically on every upload with the auto-review workspace setting — and whether AI findings are visible to clients. The AI also learns each client's recurring preferences from their feedback and applies them to that client's future reviews; you can view and edit what it has learned at any time.
Does the analysis include a transcript?
Yes. Analysed videos get a word-level transcript synced to the player — click a word and the video jumps to that moment. Transcripts are also indexed by the global search, so you can find a video by what is said in it.
Does AI analysis replace human review?
No. AI analysis augments human review by catching technical issues that are easy to miss during long editing sessions. Creative and editorial decisions still require human judgment. The AI handles the tedious checklist work so your reviewers can focus on storytelling and brand alignment.
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