IBM Datacap VS DocSolved

DocSolved's answer:

DocSolved is primarily designed for small and medium-sized businesses, accounting professionals, finance teams, operations teams, and software developers who regularly process business documents.

Our core audiences include:

• Accountants and bookkeepers extracting data from invoices and receipts.
• Finance and accounts payable teams reviewing amounts, taxes, supplier details, and invoice discrepancies.
• Operations and procurement teams processing purchase orders, delivery notes, and supplier documents.
• Developers and SaaS builders integrating document extraction through REST APIs and webhooks.
• Freelancers and small businesses replacing repetitive manual data entry with structured extraction.

DocSolved works especially well for recurring document workflows where extracted values must be checked, corrected, and exported in a consistent format.

It is intended for professional and business use, from individual users to collaborative teams.

DocSolved's answer:

Choose DocSolved if you want to automate document extraction without losing visibility into where the data came from.

DocSolved brings extraction, source checking, validation, review, and export into one workflow.

You can inspect extracted fields beside the original document, correct mistakes, and see which values still require attention. The platform also supports structured electronic invoices, custom extraction templates, and integration through REST APIs and signed webhooks.

Reasons to consider DocSolved:

• Review extracted values alongside their source documents.
• Detect missing fields and financial inconsistencies.
• Read supported e-invoice XML formats directly.
• Export JSON, CSV, XLSX, and accounting-oriented CSV layouts.
• Integrate processing into your applications through an API and webhooks.
• Use the same core features on free and paid plans.
• Try interactive document demos without registration.

DocSolved offers 100 free pages as a one-time allowance, with no credit card required.

It is particularly suitable for individuals and teams who value traceability, flexible extraction, and human control over document-processing results.

You can test it on your own documents before deciding whether it fits your workflow.

DocSolved's answer:

DocSolved focuses on a problem that basic OCR alone cannot solve: turning extracted document data into results that people can inspect, correct, and use in business workflows.

Instead of returning only text or structured fields, DocSolved combines AI extraction with source evidence, validation, and human review.

Key differentiators:

• Source traceability: Extracted values can be linked to their original page locations when OCR evidence is available. Structured e-invoices reference their XML source instead.
• Built-in review workflow: Missing, uncertain, or inconsistent values are flagged for human attention, with separate extracted, corrected, and verified states.
• XML-first e-invoice processing: Factur-X, ZUGFeRD, KSeF FA(3), and UBL 2.1 invoices are parsed from structured data instead of relying on OCR.
• Discrepancy detection: Conflicting values between embedded XML and rendered invoice content can be identified and reviewed.
• Flexible extraction: Built-in document types and custom field templates support different business use cases.
• Automation-ready output: REST API, asynchronous jobs, signed webhooks, and structured exports connect document processing to existing systems.

Every pricing plan includes the same product features, with different usage and storage allowances.

Our goal is to make AI-extracted document data easier to verify, not simply faster to generate.

DocSolved's answer:

DocSolved was developed by Synairo, a small engineering company based in Warsaw, Poland, working in enterprise integrations, Salesforce architecture, and document intelligence.

The idea behind DocSolved is straightforward: extracting information from documents is only part of the problem. Businesses also need to understand where that information came from and whether it requires correction before being used elsewhere.

We wanted to bring extraction, source evidence, validation, and human review together in a single application.

That approach shaped DocSolved.

Rather than treating AI-generated values as unquestionable results, the platform helps users inspect the original source, identify inconsistencies, correct fields, and track review decisions.

As the product developed, its scope expanded to include structured electronic invoices, custom extraction templates, team workflows, and developer integrations.

DocSolved reflects our engineering philosophy: build practical systems that make automation easier to understand, integrate, and control.

Our goal is not to remove people from every decision. It is to reduce repetitive document work while making important information easier to verify.

DocSolved's answer:

DocSolved uses a Python-based backend with dedicated OCR and AI document-processing components.

The platform also implements direct XML parsing for structured e-invoice formats, avoiding unnecessary OCR and AI processing when machine-readable data is available.

DocSolved's answer:

• No publicly disclosed customer references at this time.