Roysa vs Reducto

Reducto feeds LLM pipelines. Roysa delivers verified answers — pinned to the exact word, object, frame, or timestamp.

Reducto is an agentic document platform for AI teams — parsing, extraction, and intelligent chunking tuned for RAG and LLM ingestion at scale. Roysa TrueTrace applies the same rigor to a different problem: giving people verified answers. Instead of feeding a pipeline, TrueTrace answers questions directly and pins every answer to the exact word — even in scanned documents — or the exact object, frame, or timestamp in images, audio, and video.

Roysa TrueTrace Reducto
Modalities Documents, images, audio, and video — one platform, one credit balance Documents: PDFs, images, spreadsheets, slides
Source grounding Word-level bounding boxes on every answer — including scanned documents — plus objects in photos, on-screen text, and audio/video timestamps Layout-aware parsing that preserves bounding boxes and structure
Object detection People, vehicles, equipment, signatures, stamps, damage, and safety gear in images and video frames
Audio & video Transcription with speaker labels and timestamps, on-screen text reading, scene and object recognition Not supported
RAG / LLM ingestion Not a chunking service — TrueTrace answers questions directly, with sources attached Intelligent chunking and embedding optimization for LLM pipelines
Rules-based review Plain-English checklists checked rule by rule — pass/fail with the exact word, object, or moment as proof
Who can use it Business teams in the TrueTrace web workspace — plus developers via REST API and MCP server AI and engineering teams, via API
Getting started Self-serve: 100 free credits, 14-day trial, public pricing Pay-as-you-go standard tier; sales-led Growth/Enterprise

Comparison based on each vendor's publicly available materials as of July 2026. Product capabilities change — always check the vendor's own site for current details.

Where Roysa is different

Answers, not ingestion

Reducto's output is structured data for your LLM pipeline to consume. TrueTrace's output is the finished product: extracted fields, pass/fail rule verdicts, transcripts, and plain-language answers — each one carrying its own word-level source proof so a human can verify it in one glance.

Word-level grounding on scans

TrueTrace annotates scanned documents at the word level. When a value comes off a noisy scan — a stamped certificate, a faxed ACORD form, a handwritten note — the bounding box lands on the exact word, not a paragraph block. That precision is what lets claims, lending, and compliance teams act on AI output.

Every modality, one workflow

Case files include photos, recorded statements, and inspection videos. TrueTrace detects objects in images, transcribes audio with speakers and timestamps, and reads on-screen text in video — all verified the same way and billed from the same credits.

When Reducto might fit better

If you're an AI team building a retrieval pipeline and need best-in-class document parsing, chunking, and embedding optimization feeding your own LLM stack, Reducto is designed for that. Roysa is the better fit when the deliverable is a verified answer a human will act on — especially when the evidence spans documents, images, audio, and video.

Frequently Asked Questions

It depends on the job. If you're building a RAG pipeline and need document chunking for LLM ingestion, Reducto is built for exactly that. If you need verified answers from your files — extracted fields, rule checks, transcripts — with word-level source proof your team can audit, that's what Roysa TrueTrace does.

Reducto preserves layout bounding boxes while parsing documents for downstream pipelines. TrueTrace grounds final answers: every extracted value, rule verdict, and chat answer is pinned to the exact word on the page — including on scanned documents — or the exact object, frame, or timestamp in media files.

Yes. Every TrueTrace skill — Ask, Extract, Review, Translate, Transcribe, and Geo — is available as a REST API with the same word-level grounding in the responses, plus an MCP server for AI agents. Credits are shared between the app and the API.

See Word-Level Verification on Your Own Files

Upload a document, image, audio, or video file and watch every answer point to its exact source.