OpenParser AI vs Referee.chat

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

OpenParser AI compared with Referee.chat
Detail	OpenParser AI	Referee.chat
What it does	Transform documents into searchable knowledge with AI-powered cited answers	An AI panel debates your goal; a referee rules on re-checkable evidence
Stage	Established	Not given
Founded	2003	Not given
Based in	US	Not given
Pricing model	Freemium	Freemium
Pricing	SaaS: $30 per user per month (10% discount billed annually), includes 5GB storage, 30+ agents, SSO and audit logs. 15-day free trial with no credit card required. On-Prem Edition pricing available by contacting sales.	Free: $1.00 starting credit once. Credit plans from $10 top-up with no expiration. Your own key: 5% infrastructure fee after the first $5.00 of usage.
Key features	AI-powered document Q&A with page/row/paragraph references 30+ pre-built AI Agents for contracts, compliance, invoices and more Multi-source document processing (PDF, DOCX, XLSX, PPTX, CSV and more) Connect Google Drive and Microsoft SharePoint with auto-sync Query SQL databases in plain English without SQL skills Website content indexing for live knowledge sources Bring your own LLM (OpenAI, Anthropic, Gemini, Llama) Role-based access control (RBAC) and full audit logs On-premises or private cloud deployment options Custom Agent creation on user-defined templates	Panel of up to six AI models from different vendors Referee rules on re-checkable evidence only Searches academic databases: arXiv, OpenAlex, Crossref, Europe PMC Executes Python code to verify claims Customizable acceptance standards Matches pause and resume without losing work Shared ledger prevents re-derivation Spending limit per match
What makes it different	Every answer is cited to its source document—no hallucinations or invented claims Delivers finished work products instead of chat transcripts Data stays on your infrastructure with full deployment control Built for regulated industries with permission-aware design and full audit trails Choose and change your LLM independently from the platform	Referee decides on evidence, not argument quality Panel from different vendors fails in different directions Stuck is a targeted question, not model thrashing Cost grows with ledger, not round count Published matches become research record
Community votes	0	0
DR (Domain Rating by Ahrefs)	7 +1 (up) since last check	2 no change since last check
Trust Flow (Majestic)	19	0
Citation Flow (Majestic)	22	13
Referring domains (Majestic)	82	31

5 details filled in for both companies.

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