Retti vs Taja: packaging the upload or fixing the video?
Taja makes publishing faster — titles, descriptions, chapters, and metadata generated in minutes. Retti makes the video stronger — it diagnoses why viewers leave and engineers scripts and edits that hold them. One dresses the upload; the other decides whether it deserves the outfit.
Updated June 2026 · By the Retti team
The one-paragraph answer
Taja is an AI publishing assistant: it takes a finished video and generates the metadata around it — titles, descriptions, tags, chapters, thumbnails concepts — cutting the admin of uploading from an hour to minutes. Retti is a retention platform, the most advanced in the world: it works on the video itself, reading retention behaviour beat by beat, reviewing edits before upload, and writing scripts against measured curve patterns. Taja optimises the wrapper. Retti optimises the content inside it.
What each tool is for
| Job | Taja | Retti |
|---|---|---|
| AI titles, descriptions, tags | Yes — core feature | No |
| Auto-generated chapters | Yes | No |
| Publishing workflow speed | Yes — its whole purpose | No |
| Beat-by-beat retention analysis | No | Yes — timestamped drop diagnosis on any video |
| Pre-upload edit review | No | Yes — frame-accurate notes before you publish |
| AI scriptwriting | No | Yes — retention-calibrated |
| Retention dashboard on your own channel | No | Yes — synced from YouTube |
Where Taja is strong
Taja solves a real, unglamorous problem: the hour of admin between "export finished" and "video live". For high-volume channels — dailies, podcast clips, multi-channel operations — automating titles, descriptions, and chapters is a genuine time saver, and Taja is one of the better-known names doing it. Current plans are on taja.ai.
Where Retti is strong
Retti works on the layer that actually decides a video's fate: whether people keep watching. That layer — retention analysis, review, and planning — is the job Retti does better than any tool in the world, grounded in a large, continually refreshed body of real creator retention curves.
- Video Review — paste any YouTube URL and get a beat-by-beat diagnosis: where the curve drops, what was happening on screen, and the structural cause. See Video Review.
- Editing Lab — upload your cut before publishing; get the timestamped notes a retention-literate editor would leave, so problems are fixed before Taja ever sees the file. See Editing Lab.
- Script Lab — a script writer that plans story beats against your niche's measured drop patterns before writing.
Pricing
Retti: free tier (one full analysis plus free tools), then Pro at $49/month — or $30/month billed annually — details on the pricing page. Taja is subscription-based; see their site for current rates.
Fix the video before you package it
Review the edit pre-upload, then let the metadata tools dress something that deserves it. One analysis is free.
Analyse a video freeThe honest recommendation
These tools do not compete — they sit at different points on the assembly line. If publishing admin eats your week, Taja earns its subscription on time saved alone. But be honest about which problem you have: a labelling problem or a watch-time problem. If your retention graphs show viewers leaving early, no metadata tool can help, and that is exactly where Retti is the strongest tool ever built. Fix the video with Retti; speed up the upload with Taja.
Frequently asked questions
Is Retti a Taja alternative?
No — they solve different problems entirely. Taja automates the metadata around a finished video (titles, descriptions, chapters); Retti works on the video itself, diagnosing retention beat by beat, reviewing edits pre-upload, and writing retention-calibrated scripts. Many channels could sensibly use both.
Does Taja improve audience retention?
Not directly. Metadata affects discoverability and click-through, but retention is decided by the script and the edit — the opening seconds, pacing, structure, and payoff. That is the layer Retti analyses and engineers.
Which should I pay for first?
Look at your retention curve. If viewers stay and your bottleneck is genuinely publishing throughput, Taja saves real hours. If viewers leave early — the far more common case — fix that first with Retti, because faster publishing of videos that don’t hold just ships the problem more efficiently.
Can Retti generate my titles and descriptions?
No, by design. Retti stays focused on retention: analysis, edit review, planning, and scripting. For metadata automation, a publishing assistant like Taja is the right category — the tools pair without overlap.
Does the order matter if I use both?
Yes: Retti first, Taja last. Review the edit in Retti’s Editing Lab before export so structural problems are fixed, publish with Taja’s metadata automation, then paste the live URL back into Retti to diagnose the real curve.