PDF-to-structured-data extraction
Upload a PDF and extract structured data from invoices, receipts, forms, and contracts without manually keying each field.
nolainocr is an AI OCR tool that extracts structured data from PDF invoices, receipts, forms, contracts, and bank statements. It helps teams move document data into Excel, Google Sheets, JSON, or CSV without manual entry.
nolainocr is an AI-powered OCR tool for turning PDF invoices, receipts, forms, contracts, and bank statements into structured data. The site positions it as a fast way to move from raw documents to spreadsheet-ready output without manual data entry.
The workflow centers on uploading a PDF, configuring which fields to extract, and downloading the result in formats such as Excel, Google Sheets, JSON, or CSV. The product is aimed at repetitive document work, especially for accounting, invoicing, expense tracking, logistics, insurance, and bank-statement reconciliation.
Upload a PDF and extract structured data from invoices, receipts, forms, and contracts without manually keying each field.
Process multi-page documents in a single workflow, including PDFs that contain multiple invoices or receipts.
Use template-based extraction for files with repeated layouts so the system can pull values from every page automatically.
Review and choose the columns you want to capture before exporting the extracted table.
Export extracted results to Excel, Google Sheets, JSON, or CSV depending on the workflow shown on the site.
Work from a simple upload, configure, extract, download flow with minimal setup time.
Turn supplier invoices into structured tables with vendor names, invoice numbers, dates, subtotals, taxes, totals, and line items for accounts payable or bookkeeping.
Convert paper or image-based receipts into categorized expense data for reimbursement and expense reports, including dates, vendors, tax, and totals.
Parse PDF bank statements into transaction tables for reconciliation, audit preparation, and financial analysis.
Extract shipping details, quantities, and SKU-style fields from repetitive operational documents to reduce manual entry in logistics workflows.
Digitize claim forms, policy documents, and EOB-style records into structured fields for back-office processing.
It processes PDFs containing invoices, receipts, forms, contracts, and bank statements. The source pages emphasize invoices, receipts, and bank statements as common workflows.
The site says it is AI-powered OCR designed to extract structured fields from uploaded PDFs in seconds, but it does not publish a formal accuracy percentage.
The workflow is designed around documents that share a layout. For best results, the site recommends combining pages with the same structure into one PDF or grouping documents by layout type.
Yes. The pricing page includes a free plan that allows up to 6 pages per document and 6 pages per month.
The site states that extracted data can be downloaded as Excel, Google Sheets, or JSON, and some pages describe CSV export for accounting workflows.
司马阅是一款面向企业的AI文档智能体平台,帮助团队把分散在文档中的知识转成可用于问答、检索、写作和审查的结构化能力。它适合对准确性和数据安全要求较高、且有大量文档工作流程的企业。
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