PSIcapture
Turn documents, databases and email data into actionable information. PSIcapture does much more than just convert documents from paper to digital format. It’s advanced, automated document capture and data extraction designed to meet all the needs of any organization. Organizations use an array of scanning devices and document management applications to meet their needs, which are subject to change over time. PSIcapture is unique in its ability to integrate with any scanning device and route information to more than 60 ECM systems. No matter the size and scope of an organization, whether it has 10 employees in one office or 500 scattered across several locations, PSIcapture will make document processes easy and efficient. Competitively priced, truly scalable and uniquely versatile, PSIcapture is the ideal document capture solution. A single capture platform designed to meet all the needs of an organization.
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DocuPipe
DocuPipe is an AI-powered document intelligence platform that turns virtually any document into a reliably structured data object. It handles complex formats, handwritten notes, nested tables, checkboxes, multilingual text—and converts the content into consistent JSON or database records. You define what you need with custom schemas and upload PDFs, images or scans, and DocuPipe’s pipeline handles document type classification, OCR, table extraction, form parsing, and schema-based standardization. It supports use cases such as invoices, contracts, loan applications, medical records, purchase orders and receipts. The REST API enables full automation; upload a file, wait a few seconds, then retrieve a parsed text result or standardized JSON according to your schema. DocuPipe emphasizes security and compliance, documents are encrypted in transit and at rest, and the platform is SOC-2, ISO 27001, HIPAA and GDPR-ready.
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Tensorlake
Tensorlake is the AI data cloud that reliably transforms data from unstructured sources into ingestion-ready formats for AI applications. It seamlessly converts documents, images, and slides into structured JSON or markdown chunks, ready for retrieval and analysis by LLMs. The document ingestion APIs parse any file type, from hand-written notes to PDFs to complex spreadsheets, performing post-processing steps like chunking and preserving the reading order and layout of the documents. Tensorlake's serverless workflows enable lightning-fast, end-to-end data processing, allowing users to build and deploy fully managed Workflow APIs in Python that scale down to zero when idle and scale up when processing data. It supports processing millions of documents at once, maintaining context and relationships between various data formats, and offers secure, role-based access control for effective team collaboration.
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Docling
Docling is an easy-to-use, self-contained, MIT-licensed open source toolkit for converting messy documents into structured data and simplifying downstream document and AI processing. It can parse many popular document formats into a unified and richly structured Docling Document, including PDF, DOCX, PPTX, XLSX, HTML, Markdown, AsciiDoc, CSV, images, audio, and scanned pages through an OCR engine of the user’s choice. Docling detects tables, formulas, reading order, chunks, bounding boxes, page headers and footers, pictures, captions, code, list items, paragraphs, cells, and document structure, making extracted content easier to process, search, and ingest into AI, RAG, and agentic systems. It can export parsed documents to JSON, text, Markdown, HTML, and Doctags, giving developers flexible outputs for pipelines and applications. Docling stores and traverses components according to reading order, partitions documents into bite-sized contiguous text chunks.
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