Use AI-powered OCR, document intelligence, and structured data extraction to extract, verify, and process documents from corporate processes, finance, healthcare, legal, compliance, and logistics. Drag or scroll to navigate faster.
AI OCR for PDFs, invoices, IDs, forms, and scanned documents with industry-leading accuracy and structured data extraction.
Crawl websites and extract structured data, links, emails, metadata, and content using AI-powered web scraping.
Process documents and websites in under 3 seconds with GPU-accelerated AI document processing.
Enterprise-grade security with SOC 2 compliance, encrypted storage, secure processing, and zero data retention.
Integrate AI document extraction and OCR into your applications using REST APIs, SDKs, and webhooks.
Monitor document processing performance, extraction accuracy, API usage, and workflow analytics in real time.
Process thousands of documents simultaneously with scalable AI-powered batch document processing.
Ensure reliable document extraction with intelligent retry logic and multi-model AI failover systems for enterprise workflows.
Use AI-powered OCR, document intelligence, and structured data extraction to extract, verify, and process documents from corporate processes, finance, healthcare, legal, compliance, and logistics.
Use AI-powered invoice processing and OCR automation to extract invoice data, vendor information, line items, taxes, and payment details.
By obtaining and verifying information from passports, driver's licenses, national IDs, and compliance papers, you may automate identity verification.
Use AI document intelligence and structured data extraction to examine contracts, NDAs, legal agreements, and compliance papers.
Use AI OCR to transform prescriptions, patient forms, lab results, and medical records into structured digital data that can be searched.
Watch how DocsFlow AI processes documents and websites in real time.
Upload scanned documents, PDFs, invoices, forms, IDs, pictures, and URLs of websites. DocsFlow AI has enterprise-scale processing capabilities and supports more than 50+ file types.
Text, tables, signatures, entities, layouts, and important business data are all automatically and accurately identified by advanced AI OCR and document intelligence.
Prepare verified, machine-readable JSON for databases, processes, and APIs that includes extracted fields, confidence ratings, metadata, and structured data for every time.
Replace Fragile OCR Workflows with Intelligent Document Processing
Connect DocsFlow AI with CRMs, ERPs, databases, cloud storage, and business applications. Automatically send structured data extracted from documents, PDFs, forms, and websites into your workflows using APIs, webhooks, and enterprise integrations.
Join thousands of teams already using DocsFlow AI.
"DocsFlow AI cut our invoice processing time from 2 days to 10 minutes. The accuracy is unreal."
"The web crawling feature alone is worth it. I replaced 3 different tools with just DocsFlow."
"We process 50,000 documents a month. The batch API is rock solid and the support is excellent."
"Onboarded in 15 minutes. The API docs are clean and the SDKs just work. No surprises."
Understand what DocsFlow AI does, how OCR and AI extraction work, and why teams replace manual data entry and template-based tools with a document data extraction API.
Document data extraction turns unstructured information — PDFs, invoices, receipts, PAN cards, Aadhaar, medical records, scanned images, and forms — into structured JSON. Instead of reading a file and retyping key fields, APIs like DocsFlow AI read the document with AI, recognise fields such as names, dates, amounts, line items, and tables, validate them, and deliver clean data for databases, CRMs, accounting software, and automations.
Traditional OCR software converts a scanned page into plain text but stops there. An OCR document API understands structure: it identifies invoice numbers, supplier names, tax totals, and line items, and returns them as labelled JSON. DocsFlow AI is template-free, so new layouts, rotated pages, handwriting, and tables are handled automatically without rule tuning or per-document configuration.
Accounts payable teams use DocsFlow AI to extract invoice data automatically: vendor, invoice number, date, line items, GST/tax, and totals. Extracted invoices are validated and pushed into ERPs, accounting tools, or approval workflows. Customers report near-90% reductions in invoice processing time and 99.2% average extraction accuracy.
Yes. DocsFlow AI includes a web crawling API that fetches web pages — including JavaScript-rendered and dynamic pages — and converts the visible content, metadata, links, emails, and listed items into structured JSON. Use it for lead generation, price monitoring, content archiving, or research pipelines.
Files are uploaded (or fetched via URL), converted to a normalized representation, then passed through OCR and AI models that locate text blocks, tables, and form fields. A validation layer checks for missing or inconsistent values before the response is returned as JSON. Typical end-to-end processing completes in under 3 seconds per document.
DocsFlow AI is built for enterprise document processing: SOC 2 and GDPR controls, isolated processing environments, audit logging, encryption in transit and at rest, and zero data retention options. Sensitive documents — contracts, financial records, and identity documents — stay protected end to end.
The free tier includes 100 documents per month with no credit card required. The Pro plan is $99 per month for up to 10,000 documents plus 500 web crawls. High-volume and enterprise teams can request custom plans with dedicated throughput, SSO, SLA, and on-premise options.
Large language models are what make modern extraction template-free. Instead of a rule that says 'the total is the text after the label', an LLM reads the whole document in context and infers which value is the total by how it relates to line items, tax, and subtotals. DocsFlow AI combines this reasoning with vision models and validation, so the same pipeline handles a new vendor layout, a scanned form, or a rewritten contract without re-training — and returns schema-validated JSON with confidence scores rather than raw text.
Retrieval-augmented generation (RAG) answers open-ended questions by pulling relevant passages from a corpus and summarising them in natural language. That is great for a chatbot that reads your help docs. But when you need an exact invoice total, a contract date, or a patient ID to flow into an ERP or CRM, you need field-level extraction: schema-validated, traceable values with confidence scores. DocsFlow AI is built for the second use case — and its web crawling API produces the clean, structured content that makes RAG pipelines work too.
Trust comes from engineering, not from hoping the model behaves. Every DocsFlow AI extraction returns a confidence score, a source page reference, and a bounding box, so output is traceable to the original document. Per-field thresholds route low-confidence values to human review, and validation rules — date ranges, sum checks, ID format matching — reject values that contradict the document. Structured generation constrains output to your schema at inference time, which is how LLM hallucination is controlled in production finance, healthcare, and legal workloads.
Structured output means the AI returns JSON that matches the exact schema your system expects — field names, data types, and nesting — instead of free text you have to parse. DocsFlow AI applies this to every document type: invoices, contracts, IDs, medical records, and crawled web pages. Because the output is already schema-validated, teams connect it directly to databases, accounting tools, and workflow automation without building a second parsing layer.
Everything you need to know to get started with our platform.
