Feed business systems and automation workflows
Structured field data exports as JSON or CSV, clean, validated, and ready for immediate use in ERPs, databases, or agentic workflows.
Data output
Extracted and validated document data has to reach the systems your processes rely on (ERP, CRM, automation platforms, agentic workflows, or AI models), ideally without manual intervention. ABBYY Document AI closes that last mile, automatically exporting data in the format each downstream system requires and delivering it via REST API or pre-built connectors from the ABBYY Marketplace.
Structured field data exports as JSON or CSV, clean, validated, and ready for immediate use in ERPs, databases, or agentic workflows.
Doclang delivers a machine-readable representation of the full document with structure, layout, and governance metadata included, so LLMs and AI agents work from verified facts, not inferred approximations.
Recognized text exports to DOCX, XLSX, HTML, and other editable formats with the original document structure preserved.
Processed images export as searchable PDFs and PDF/A for retrieval and long-term archival and deliver directly to SharePoint or shared storage. Sensitive fields can be permanently redacted before export where compliance requires it.
Validated data needs to reach its destination whether that's a decades-old ERP, a homegrown platform, a specialist line-of-business application, or an agentic workflow orchestrator. Pre-built connectors cover the most common enterprise systems with minimal integration effort. For anything else, an open API gives development teams the flexibility to build what's needed. Either way, data arrives in the format the receiving system expects.
Most business processes start with a document - an invoice that needs approval, a contract that triggers an obligation, a form that opens a case. When structured data exports directly into the systems that act on it, the document becomes the event that drives the process forward. Approvals are routed, cases opened, and obligations tracked, creating an end-to-end process fueled by the data within the document.
Data is encrypted in transit and validated against your business rules before export, ensuring only clean, compliant data reaches downstream systems, with discrepancies flagged for human review. Where required, specific fields can be permanently redacted before export, with the underlying data irrecoverable from the exported file. Audit trails stay intact and regulatory obligations, such as GDPR, CCPA, and sector-specific requirements, are met without manual gatekeeping.
For product and development teams, ABBYY's output capabilities can be embedded natively into your own application—so structured data reaches end users as part of your product experience, not a connected system alongside it.
Data output is the final step in the ABBYY IDP pipeline. Once your documents have been processed, classified, and validated, structured data is ready to leave the system and go to work.
This is where extraction delivers its business value. Validated data is automatically formatted for its destination and exported to the systems, workflows, and AI pipelines that act on it — completing the journey from document to decision.
Purpose-built AI extracts data from any document type and validates it against your business rules. Discrepancies are flagged; clean data moves forward automatically.
Validated data is structured into your required output format—JSON, CSV, Doclang, or others—ready for the specific system or workflow receiving it.
Data is exported securely to your destination of choice—REST API, SFTP shared folder, ODBC database, SharePoint, or an external system via Marketplace connector or custom script—initiating the next step without human handoff.
Ingest documents from multiple channels—mobile devices, email, shared folders, network scanners, and direct connections to business systems via API or pre-built connectors—ensuring seamless integration into your workflows, no matter how documents enter your organization. This flexibility empowers you to efficiently support diverse business processes, adapting to your specific needs and streamlining operations from every entry point.
The quality of document images can vary significantly due to issues like poor lighting and distortions from mobile cameras—or come with multiple auxiliary elements such as patterned backgrounds, protection marks, field markings, lines, and guides that obscure important information.
ABBYY’s AI-powered image enhancement algorithms optimize each image for accurate data extraction. The AI corrects distortions and separates text from the background, cleaning up even the most complex and visually busy documents—such as IDs, birth certificates, and forms—to achieve reliable results and high straight-through processing rates.
AI has transformed the ability to read and interpret content previously deemed impossible to process, dramatically expanding the use cases for automation. ABBYY IDP uses advanced AI-based optical character recognition (OCR) and intelligent character recognition (ICR) technologies to digitize printed and handwritten text, preparing it for further processing. These technologies are able to recognize the logical structure of the whole document, including complex elements such as tables, enabling document classification, data extraction, and high-quality export to digital formats.
Automate document classification and routing with AI classification models that analyze both text and image features through multimodal learning to recognize and organize documents. Once classified, documents are automatically assigned an AI extraction model for processing. By incorporating human-in-the-loop input, the models learn from user corrections and automatically adjust, continuously improving their performance over time.
Extract data from structured, semi-structured, or unstructured business documents using advanced AI and machine learning that mimic human understanding. ABBYY IDP reads and understands documents in over 200 languages and effortlessly handles complex tables, handwriting, checkmarks, barcodes, signatures, and more.
Automatic validation cross-checks information against databases and ensures compliance with built-in validation rules. Our low-code design approach gives you the flexibility to use pre-trained models available in the ABBYY Marketplace, tweak these ready-to-use models for the unique needs of your organization, or train custom models tailored to your specific documents.
Combine purpose-built AI with the flexibility of Large Language Models (LLMs) to enhance document workflows. This hybrid approach enables advanced summarization, contextual reasoning, and automated communication, unlocking new efficiencies in a secure and scalable environment.
Keep refining your processes through human-in-the-loop (HITL) review, which lets subject matter experts step in to manually check and correct document classes as well as extracted data through a convenient interface. This optional step is crucial when 100% accuracy is required or when a document doesn’t meet the specific validation rules established for each AI model. Each time a correction is made, the AI models improve through continuous learning and get more accurate.
The advanced quality analytics provided by ABBYY Document AI provide a clear understanding of your document processing performance and track improvements in straight-through processing rates over time. With actionable insights and tailored recommendations, you can pinpoint the root causes of problems and take effective actions to improve data extraction quality of the models for superior business outcomes within your IDP workflow.
ABBYY Document AI automatically exports data in the required format to meet your needs—whether JSON, CSV, XML, or others. The data is then sent seamlessly to your automation systems and business applications through simple REST API or pre-built connectors into your downstream processes.
How combining purpose-built Document AI with LLMs creates end-to-end workflows that are both accurate and contextually rich.
Why clean, structured document data is the prerequisite for reliable AI agents—and how continuous improvement keeps the system getting smarter.
What happens when IDP doesn't just extract data but equips autonomous agents to decide what to do with it—automatically, across end-to-end workflows.
How combining purpose-built Document AI with LLMs creates end-to-end workflows that are both accurate and contextually rich.
Why clean, structured document data is the prerequisite for reliable AI agents—and how continuous improvement keeps the system getting smarter.
What happens when IDP doesn't just extract data but equips autonomous agents to decide what to do with it—automatically, across end-to-end workflows.
Why clean, structured document data is the prerequisite for reliable AI agents—and how continuous improvement keeps the system getting smarter.
Exports fall into four categories.
ABBYY supports multiple delivery destinations: REST API, SFTP-accessible shared folders, ODBC-compatible databases, SharePoint, and external systems via pre-built Marketplace connectors or custom integration scripts. Export runs automatically as documents complete processing or can be triggered manually, with configuration handled at the project or workflow level.
Doclang is an open, AI-native document format developed by an industry working group including ABBYY, IBM, Nvidia, and Red Hat. Unlike PDFs or HTML, it explicitly defines document structure, layout, and semantic meaning in machine-readable form—making it the preferred output when document data feeds LLMs or AI pipelines. It reduces hallucinations by grounding model inputs in verified content and embeds governance metadata, such as PII flags and model usage policies, directly in the file.
Data is encrypted in transit and validated against your business rules before leaving the platform. Specific fields can be permanently redacted before export, appearing as blacked-out areas in exported images with the underlying data irrecoverable. This supports compliance with GDPR, CCPA, and sector-specific requirements without manual oversight at the point of export.
Yes. Export workflows can be configured to initiate downstream actions—approval routing, report generation, compliance flagging—based on the content and status of exported data, extending automation from document processing into the business processes that depend on it.
Data is validated against your business rules before export. If a discrepancy is detected—a missing field, an out-of-range value, or a rule violation—the document is flagged for human review rather than passed downstream, protecting data integrity across your workflows.
Schedule a demo and see how ABBYY intelligent automation can transform the way you work—forever.
How combining purpose-built Document AI with LLMs creates end-to-end workflows that are both accurate and contextually rich.
What happens when IDP doesn't just extract data but equips autonomous agents to decide what to do with it—automatically, across end-to-end workflows.
