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Notes on documents, data and automation.

Practical, no jargon. What we learn building LOCRAI and working with the people who process documents every day.

source: quanto-costa-data-entry-manuale.md

category: automation

published: June 25, 2026

read_time: 11m

Manual data entry: how to measure the real cost of your document workflow

A four-variable method to quantify hours, rework and downstream delay — before evaluating any automation tool.

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  1. source: automazione-ciclo-passivo.md

    category: automation

    published: June 24, 2026

    read_time: 12m

    Accounts payable automation: from invoice to ERP without data entry

    Invoices, delivery notes and credit notes: how to automate accounts payable with AI extraction, data verification and ERP integration — without retyping every PDF by hand.

  2. source: dmv-vs-ocr.md

    category: underTheHood

    published: June 18, 2026

    read_time: 13m

    OCR, text layer, visual analysis: what really reads a document

    A no-frills guide to the different ways of reading a document and when each one is worth it.

  3. source: addio-data-entry-manuale.md

    category: automation

    published: June 10, 2026

    read_time: 12m

    Goodbye data entry: what changes when documents read themselves

    The hidden cost of re-typing invoices by hand, and what happens to the work when extraction becomes automatic.

  4. source: gdpr-documenti-cloud.md

    category: compliance

    published: June 2, 2026

    read_time: 12m

    Documents in the cloud and GDPR: a pragmatic checklist

    Retention, data localization, access: what to look at when you entrust your documents to a service.

  5. source: confidence-non-e-una-promessa.md

    category: dataQuality

    published: May 22, 2026

    read_time: 11m

    Confidence isn't a promise: how to trust extracted data

    A reliability score only makes sense if it comes from objective checks. Here's the difference between saying and proving.

  6. source: integrare-estrazione-nel-gestionale.md

    category: integrations

    published: May 5, 2026

    read_time: 12m

    How to connect document extraction to your business system

    Export, webhook or API: three ways to get the data where it's needed, without copy-paste.

  7. source: studi-commercialisti-multi-cliente.md

    category: useCases

    published: April 20, 2026

    read_time: 11m

    One firm, a hundred clients: managing documents without losing your mind

    How multi-organization management changes the day of those who work for many companies at once.

  8. source: software-estrazione-documenti-criteri.md

    category: automation

    published: November 18, 2025

    read_time: 11m

    Document extraction software: eight criteria for evaluating a vendor

    EU hosting, data verification, API, pricing model: an operational checklist to compare document extraction solutions without trusting made-up statistics.

  9. source: ocr-su-scansioni-qualita-revisione.md

    category: dataQuality

    published: August 5, 2025

    read_time: 11m

    OCR on scans: DPI, skew and the human review queue

    Scans impose different constraints than digital PDFs. Image quality, stamps, skew: how to set up the workflow and when human review is needed.

  10. source: estrazione-dati-da-fatture-pdf.md

    category: automation

    published: April 17, 2025

    read_time: 12m

    Extracting data from invoice PDFs: methods, common errors and how to avoid them

    Manual, template, OCR or AI: how invoice PDF data is extracted, where totals and line items fail, and what to ask before automating.

  11. source: intelligent-document-processing-guida.md

    category: underTheHood

    published: February 6, 2025

    read_time: 11m

    Intelligent Document Processing (IDP): what it is and when companies need it

    IDP is not a synonym for OCR. What an IDP workflow includes, how it differs from simple OCR and RPA, and in which contexts it is worth investing.

  12. source: ocr-e-intelligenza-artificiale.md

    category: underTheHood

    published: October 28, 2024

    read_time: 12m

    OCR and artificial intelligence: what each layer does — and when you actually need it

    OCR and AI are not the same thing. A guide to the two layers, when text recognition is enough, and when you need a engine that interprets layout and fields.