Reducto Studio is an end-to-end workspace for building and optimizing document pipelines with Reducto APIs. Gain performance visibility, confidence-scored extractions with citations, and self-improving evaluation data—ship to production in days, not months.
👋 Hey PH!
We’re the team behind Reducto, the document processing platform used by teams at Scale AI, Vanta, FAANG companies and more.
Today we’re excited to share Reducto Studio — a new way to build, iterate, and perfect document pipelines interactively.
Most document parsing tools feel like black boxes. You get an output... but have no idea why it failed.
Studio changes that.
🔍 See raw parsed data, document-level, and field-level evaluation
🧠 Auto-generate ground truth from just your schema definition
⚙️ Iterate with confidence using our evaluation scores
📊 Get confidence scores and bounding box citations for every extraction
If you’ve been struggling to evaluate your document pipeline accuracy, Studio is just for you. We’re planning on adding much more functionality like human in the loop support, API sync, and more!
We’d love your feedback, as this is only the first look for Studio. If you’re interested in trialing, you can check it out directly at https://studio.reducto.ai
AMA below — we’re here all day!
Congrats on the launch! Super cool approach to making document pipelines more transparent and manageable.
Any plans to add human-in-the-loop editing or real-time collaboration tools?
Document processing is often an overlooked bottleneck, and I'm excited for this next iteration for Reducto - feedback really helps us improve and inform our roadmap :) This is only the beginning!
I'm thrilled that Reducto Studio finally addresses the black box problem in document parsing - Having the ability to see exactly why extractions fail w/ confidence scores + bounding box citations is exactly what I've needed for troubleshooting :))
This is kinda a game-changer for anyone building document pipelines that actually need to work reliably lol (me!)
