Blog Posts
Insights, guides, and case studies on OCR, data extraction, and image-to-Excel workflows to automate data entry and work faster.
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Best Software for Accurate Data Capture in Accounting in 2026
TL;DR In accounting, accurate data capture is not about reading text; it is about numbers that reconcile to the cent. Tools split into three groups: general IDP (Nanonets, Klippa), finance-specialized (Docsumo, Rossum), and template-free extraction with arithmetic validation (Valitract). Accounting teams need layout-agnostic parsing, automatic reconciliation checks, and confidence flagging on uncertain fields. The best […]
Manual vs. Automated Purchase Order Processing: Which One Is Right for Your Business?
TL;DR Manual vs. automated purchase order processing is not an all-or-nothing choice; the right level depends on your volume, industry, and stage. Manual works at low volume and for one-off, custom buys; it breaks down as orders scale. Automation saves time and cuts errors, but it comes with software, integration, and change-management costs. The lowest-risk […]
Purchase Order Automation: The Complete Guide to Automated PO Processing in 2026
TL;DR Purchase order automation replaces manual PO creation, approval, matching, and payment triggers with a connected digital workflow. APQC benchmarks put the cost of processing a single PO at anywhere from about $14 to more than $54, driven mostly by manual work. The make-or-break step is three-way matching, which fails when the data extracted from […]
Automated Data Entry for Insurance Claims: How AI Cuts Processing Time and Errors
TL;DR Automated data entry for insurance claims uses OCR and AI to read claim documents and enter the data into your systems, with no manual typing. Manual re-keying is the biggest bottleneck in claims: it is slow, error-prone, and drives compliance and fraud risk. Automation reads receipts, invoices, medical bills, IDs, and bank statements, validates […]
Receipt Data Entry Automation: The Complete Guide to Eliminating Manual Work in 2026
TL;DR Receipt data entry automation uses OCR and AI to read receipts and post their data into your systems without manual typing. Manual entry is slow and error-prone: the average expense report costs $58 and takes 20 minutes, and one in five contains errors. Automation runs a receipt through six stages: OCR, AI structuring, ingestion, […]
Receipt OCR API: How to Choose the Best Solution for Automated Receipt Processing
TL;DR A receipt OCR API reads a receipt image or PDF and returns structured data like merchant, date, total, tax, and line items over a web request. Receipts are harder than invoices: thermal paper fades, they crumple, and most arrive as angled phone photos, so accuracy on degraded documents matters most. The best receipt OCR […]