Invofox
The Document Parsing API for developers
137 followers
The Document Parsing API for developers
137 followers
Invofox is a document parsing API for developers that turns complex, real-world documents into accurate, structured data. Built for high-variance workflows, Invofox goes beyond OCR with classification, validation, and extraction that scale reliably in production.
This is the 2nd launch from Invofox. View more
Invofox 2.0
Launched this week
Invofox 2.0 is a platform-level update focused on production-grade document parsing. While most document AI tools look accurate in demos, they struggle with messy, real-world inputs. This launch highlights a structured experimentation workflow that makes field- and document-level accuracy visible before production, helping teams understand accuracy changes, validate improvements, and confidently deploy reliable document workflows.
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Launch Team
Invofox Custom Documents
We’re sharing this to show how experimentation works across the Invofox platform when teams take document extraction out of demos and into live workflows. Instead of optimizing for demo accuracy, this workflow connects mixed input handling, pipeline design, and field- and document-level accuracy measurement so teams can understand why accuracy changes and validate improvements on real documents.
This is the same workflow we use across POCs and live deployments, and it ties directly to our campaign around real-world document workflows: www.invofox.com/perfect-docs-guaranteed
Rather than making accuracy claims, we wanted to show the concrete process behind them. Happy to answer questions or go deeper on any part of this.
Ciro
This is awesome. Killer team, and congrats on the launch!
Invofox Custom Documents
@ross_geiger thank you!!
Slack2Peach
This is great, kudos to the team!
Does the API provide webhooks for 'Human-in-the-loop' scenarios where the confidence score falls below a certain threshold?
Invofox Custom Documents
@lightninglx Invofox will give you validation at different levels but much more insightful than just a confidence score. You can configure strict validations per field (e.g. regex for strings) and cross validations between related fields (e.g. line items summing up to the total amount).
If you configure webhook responses your system will receive the structured output plus all failed validations and their sources. That will allow you to build the automation workflows needed for your business like HITL scenarios. Hope that answers your question 😉