{"id":37453,"date":"2026-02-19T09:20:52","date_gmt":"2026-02-19T09:20:52","guid":{"rendered":"https:\/\/parashift.ai\/agentic-document-extraction-ocr-api\/"},"modified":"2026-09-15T08:02:18","modified_gmt":"2026-09-15T08:02:18","slug":"new-ocr-optical-character-recognition","status":"publish","type":"page","link":"https:\/\/parashift.ai\/en\/new-ocr-optical-character-recognition\/","title":{"rendered":"Agentic Document Extraction OCR API"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-page\" data-elementor-id=\"37453\" class=\"elementor elementor-37453 elementor-36728\" data-elementor-post-type=\"page\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-05ed988 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"05ed988\" data-element_type=\"section\" data-e-type=\"section\" data-settings=\"{&quot;pix_scale_in&quot;:&quot;none&quot;}\">\n\t\t\t\t\t\t<div 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.faq-cta{margin-top:26px;}\n\n\/* ---------- Testimonials ---------- *\/\n.psvr-scope .tmngrid{display:grid;grid-template-columns:repeat(3,1fr);gap:20px;margin-top:8px;}\n@media (max-width:900px){.psvr-scope .tmngrid{grid-template-columns:1fr;}}\n.psvr-scope .tmn{background:var(--bg);border:1px solid var(--line);border-radius:16px;padding:26px 24px;box-shadow:var(--shadow);display:flex;flex-direction:column;gap:16px;}\n.psvr-scope .tmn .tmn-q{color:var(--ink);font-size:14.5px;flex:1;white-space:pre-line;}\n.psvr-scope .tmn .tmn-q::before{content:\"\\201C\";color:var(--brand);font-size:28px;font-family:Georgia,serif;line-height:0;display:block;margin-bottom:6px;}\n.psvr-scope .tmn .tmn-who{display:flex;flex-direction:column;gap:2px;border-top:1px solid var(--line);padding-top:14px;}\n.psvr-scope .tmn .tmn-name{font-weight:700;font-size:13.5px;color:var(--ink);}\n.psvr-scope .tmn .tmn-role{font-size:12.5px;color:var(--ink-faint);}\n\n\/* ---------- Feature grid (long-form) ---------- *\/\n.psvr-scope .featuregrid{display:grid;grid-template-columns:repeat(3,1fr);gap:20px;margin-top:8px;}\n@media (max-width:900px){.psvr-scope .featuregrid{grid-template-columns:1fr 1fr;}}\n@media (max-width:600px){.psvr-scope .featuregrid{grid-template-columns:1fr;}}\n.psvr-scope .feat{background:var(--bg);border:1px solid var(--line);border-radius:14px;padding:24px 22px;box-shadow:var(--shadow);}\n.psvr-scope .feat .feat-ic{width:36px;height:36px;border-radius:10px;background:var(--brand-glow);color:var(--brand-deep);display:flex;align-items:center;justify-content:center;margin-bottom:14px;}\n.psvr-scope .feat .feat-ic svg{width:18px;height:18px;}\n.psvr-scope .feat h4{font-size:15.5px;font-weight:700;margin-bottom:9px;color:var(--ink);}\n.psvr-scope .feat p{font-size:13.5px;color:var(--ink-soft);}\n\n<\/style>\n<div class=\"psvr-scope\">\n<div class=\"herowrap\"><div class=\"pagehead\"><div class=\"wrap\"><div class=\"pagehead-grid\"><div>\n<div class=\"crumb\"><a href=\"\/en\/\">Parashift<\/a><span class=\"sep\">\/<\/span><a href=\"\/en\/\">Platform<\/a><span class=\"sep\">\/<\/span><span class=\"here\">OCR and document processing<\/span><\/div>\n<span class=\"eyebrow\">Fundamentals \u00b7 OCR, ICR and IDP<\/span>\n<h1>OCR, ICR and intelligent document processing: the difference<\/h1>\n<p class=\"lede\">OCR turns pixels into text. Intelligent document processing also understands what that text means: which document type it is, which field carries which value, and how certain that assignment is. No templates, with processing in Germany, Switzerland or the EU.<\/p>\n<div class=\"ctas\"><a class=\"btn\" href=\"\/en\/demo\/\">Book a demo<\/a><a class=\"btn ghost\" href=\"\/en\/pricing\/\">See pricing<\/a><\/div>\n<div class=\"microproof\"><span><i class=\"dot\"><\/i> Confidence per field instead of one blanket accuracy figure<\/span><span><i class=\"dot\"><\/i> No templates, no customer-specific training<\/span><span><i class=\"dot\"><\/i> BSI C5 2020, ISO 27001, SOC 2 Type II<\/span><\/div>\n<\/div>\n<div class=\"herostage\">\n<div class=\"hchip back\"><div class=\"hc-top\"><span class=\"hc-id\">Scan 002<\/span><span class=\"hc-dot\"><\/span><\/div><div class=\"ln w80\"><\/div><div class=\"ln w60\"><\/div><div class=\"ln w40\"><\/div><\/div>\n<div class=\"hchip\"><div class=\"hc-top\"><span class=\"hc-id\">Invoice 4711<\/span><span class=\"hc-pill good\">98.4 %<\/span><\/div>\n<div class=\"hc-field\"><span>Supplier<\/span><b>Muster AG<\/b><\/div>\n<div class=\"hc-field\"><span>Invoice date<\/span><b>14 Sep 2026<\/b><\/div>\n<div class=\"hc-field\"><span>Line items<\/span><b>12 detected<\/b><\/div>\n<div class=\"hc-field\"><span>Amount<\/span><b>CHF 4 812.50<\/b><\/div>\n<\/div>\n<\/div>\n<\/div><\/div><\/div><\/div>\n\n<section><div class=\"wrap\">\n<div class=\"section-head\"><span class=\"eyebrow\">The short version<\/span><h2>Characters versus decidable data.<\/h2><\/div>\n<p class=\"prozess-lead\">OCR returns characters. <strong>Intelligent document processing returns verified fields with a confidence score.<\/strong> That score is what decides which document passes without human review, and every claim about straight-through processing hangs on it.<\/p>\n<\/div><\/section>\n\n<section class=\"alt\"><div class=\"wrap\">\n<div class=\"section-head\"><span class=\"eyebrow\">Where OCR stops<\/span><h2>The template is the real cost driver.<\/h2><p>Optical character recognition detects letters and digits. It does not know whether a number it found is an invoice total, a customer number or a postcode.<\/p><\/div>\n<div class=\"featuregrid\">\n<div class=\"feat\"><div class=\"feat-ic\"><svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.6\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><rect x=\"4\" y=\"3\" width=\"16\" height=\"18\" rx=\"1.5\"><\/rect><path d=\"M8 8h8M8 12h8M8 16h5\"><\/path><\/svg><\/div><h4>A template per supplier<\/h4><p>Maintenance ties up a person permanently, and every new layout breaks the existing mapping.<\/p><\/div>\n<div class=\"feat\"><div class=\"feat-ic\"><svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.6\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><rect x=\"4\" y=\"3\" width=\"16\" height=\"18\" rx=\"1.5\"><\/rect><path d=\"M8 8h8M8 12h8M8 16h5\"><\/path><\/svg><\/div><h4>Line items drop out<\/h4><p>Tables with a varying number of rows cannot be captured through fixed regions.<\/p><\/div>\n<div class=\"feat\"><div class=\"feat-ic\"><svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.6\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><rect x=\"4\" y=\"3\" width=\"16\" height=\"18\" rx=\"1.5\"><\/rect><path d=\"M8 8h8M8 12h8M8 16h5\"><\/path><\/svg><\/div><h4>A percentage without context<\/h4><p>An accuracy figure gets reported without distinguishing field level from document level.<\/p><\/div>\n<div class=\"feat\"><div class=\"feat-ic\"><svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.6\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><rect x=\"4\" y=\"3\" width=\"16\" height=\"18\" rx=\"1.5\"><\/rect><path d=\"M8 8h8M8 12h8M8 16h5\"><\/path><\/svg><\/div><h4>Manual pre-sorting<\/h4><p>Mixed intake from post, email and portal has to be sorted before capture can start.<\/p><\/div>\n<div class=\"feat\"><div class=\"feat-ic\"><svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.6\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><rect x=\"4\" y=\"3\" width=\"16\" height=\"18\" rx=\"1.5\"><\/rect><path d=\"M8 8h8M8 12h8M8 16h5\"><\/path><\/svg><\/div><h4>A new type means a project<\/h4><p>An additional document type becomes a template project rather than a configuration.<\/p><\/div>\n<div class=\"feat\"><div class=\"feat-ic\"><svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.6\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><rect x=\"4\" y=\"3\" width=\"16\" height=\"18\" rx=\"1.5\"><\/rect><path d=\"M8 8h8M8 12h8M8 16h5\"><\/path><\/svg><\/div><h4>Handwriting stays unread<\/h4><p>Without ICR, completed forms and signature fields remain unprocessed.<\/p><\/div>\n<\/div><\/div><\/section>\n\n<section><div class=\"wrap\">\n<div class=\"section-head\"><span class=\"eyebrow\">How it works<\/span><h2>Five steps above character recognition.<\/h2><\/div>\n<div class=\"flow\">\n<div class=\"step\"><div class=\"n\">01 \u00b7 CLASSIFICATION<\/div><h4>Identify the type<\/h4><p>Invoice, delivery note, physician letter, bank statement or application form. Without this step, pre-sorting stays necessary.<\/p><\/div><div class=\"arrow\"><svg width=\"20\" height=\"20\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\"><path d=\"M5 12h14M13 6l6 6-6 6\"><\/path><\/svg><\/div>\n<div class=\"step\"><div class=\"n\">02 \u00b7 SEPARATION<\/div><h4>Split the batch<\/h4><p>A scan batch rarely holds exactly one document. Separation works even when page counts vary.<\/p><\/div><div class=\"arrow\"><svg width=\"20\" height=\"20\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\"><path d=\"M5 12h14M13 6l6 6-6 6\"><\/path><\/svg><\/div>\n<div class=\"step\"><div class=\"n\">03 \u00b7 EXTRACTION<\/div><h4>Fields and line items<\/h4><p>On commercial documents row by row, with quantity, description and price.<\/p><\/div><div class=\"arrow\"><svg width=\"20\" height=\"20\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\"><path d=\"M5 12h14M13 6l6 6-6 6\"><\/path><\/svg><\/div>\n<div class=\"step\"><div class=\"n\">04 \u00b7 VALIDATION<\/div><h4>Match against master data<\/h4><p>Three-way match between order, delivery note and invoice. Arithmetic errors and duplicates surface here.<\/p><\/div><div class=\"arrow\"><svg width=\"20\" height=\"20\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\"><path d=\"M5 12h14M13 6l6 6-6 6\"><\/path><\/svg><\/div>\n<div class=\"step\"><div class=\"n\">05 \u00b7 CONFIDENCE<\/div><h4>A score per field<\/h4><p>It decides which document passes without review. Without it, straight-through processing is not controllable.<\/p><\/div>\n<\/div><\/div><\/section>\n<section class=\"alt\"><div class=\"wrap\">\n<div class=\"section-head\"><span class=\"eyebrow\">Side by side<\/span><h2>OCR and intelligent document processing compared.<\/h2><\/div>\n<div class=\"cmp-wrap\"><table class=\"cmp\"><thead><tr><th>Capability<\/th><th class=\"crit\">OCR<\/th><th class=\"good\">Intelligent document processing<\/th><\/tr><\/thead><tbody>\n<tr><th>Output<\/th><td class=\"crit\">Characters and words<\/td><td class=\"good\">Verified fields with a confidence score<\/td><\/tr>\n<tr><th>Identify document type<\/th><td class=\"crit\">no<\/td><td class=\"good\">yes, through classification<\/td><\/tr>\n<tr><th>Split mixed batches<\/th><td class=\"crit\">no<\/td><td class=\"good\">yes, through document separation<\/td><\/tr>\n<tr><th>Line items<\/th><td class=\"crit\">no<\/td><td class=\"good\">row by row with quantity and price<\/td><\/tr>\n<tr><th>Unknown layout<\/th><td class=\"crit\">template required<\/td><td class=\"good\">no template required<\/td><\/tr>\n<tr><th>Handwriting<\/th><td class=\"crit\">only with ICR<\/td><td class=\"good\">included<\/td><\/tr>\n<tr><th>Match against ERP<\/th><td class=\"crit\">no<\/td><td class=\"good\">yes, through validation<\/td><\/tr>\n<tr><th>Release without review<\/th><td class=\"crit\">not decidable<\/td><td class=\"good\">through a confidence threshold per field<\/td><\/tr>\n<tr><th>New document type<\/th><td class=\"crit\">template project<\/td><td class=\"good\">configuration, within days<\/td><\/tr>\n<\/tbody><\/table><\/div>\n<p class=\"cmp-lead\">ICR stands for intelligent character recognition and means reading handwriting. ICR extends character recognition, it does not replace understanding the document.<\/p>\n<\/div><\/section>\n\n<section><div class=\"wrap\">\n<div class=\"section-head\"><span class=\"eyebrow\">Accuracy, honestly calculated<\/span><h2>Field accuracy is not document accuracy.<\/h2><\/div>\n<div class=\"effektband\">\n<div class=\"effekt\"><div class=\"num\">99 %<\/div><p>field accuracy sounds excellent.<\/p><div class=\"src\">Figure quoted per individual field<\/div><\/div>\n<div class=\"effekt\"><div class=\"num\">20<\/div><p>fields per document is normal in accounts payable.<\/p><div class=\"src\">A document with line items<\/div><\/div>\n<div class=\"effekt\"><div class=\"num\">82 %<\/div><p>error-free documents is what remains arithmetically.<\/p><div class=\"src\">0.99 to the power of 20<\/div><\/div>\n<\/div>\n<div class=\"note\">Anyone comparing vendors should first ask which of the two figures is meant and across which document mix it was measured. Parashift therefore works with a confidence score per field rather than one blanket accuracy rate. The threshold above which a document passes without review is set per process, which makes the straight-through rate controllable rather than a guess.<\/div>\n<\/div><\/section>\n\n<section class=\"alt\"><div class=\"wrap\">\n<div class=\"section-head\"><span class=\"eyebrow\">Market comparison<\/span><h2>Classic capture, a general-purpose model, Parashift.<\/h2><p>The three approaches that actually compete in European tenders.<\/p><\/div>\n<div class=\"cmp-wrap\"><table class=\"cmp\"><thead><tr><th>Aspect<\/th><th class=\"crit\">Legacy capture<\/th><th>General-purpose LLM<\/th><th class=\"good\">Parashift<\/th><\/tr><\/thead><tbody>\n<tr><th>Models<\/th><td class=\"crit\">Rules and templates<\/td><td>One general model<\/td><td class=\"good\">Specialised models trained on European documents<\/td><\/tr>\n<tr><th>New suppliers<\/th><td class=\"crit\">A template each<\/td><td>no guarantee<\/td><td class=\"good\">no template<\/td><\/tr>\n<tr><th>Line items<\/th><td class=\"crit\">rarely complete<\/td><td>unreliable<\/td><td class=\"good\">row by row<\/td><\/tr>\n<tr><th>Configuration<\/th><td class=\"crit\">a project<\/td><td>a prompt without versioning<\/td><td class=\"good\">no-code, versioned and reversible<\/td><\/tr>\n<tr><th>Operations<\/th><td class=\"crit\">on premise but rigid<\/td><td>usually US cloud<\/td><td class=\"good\">Germany, Switzerland or the EU, on premise too<\/td><\/tr>\n<tr><th>Cost per page<\/th><td class=\"crit\">maintenance dominates<\/td><td>hard to plan<\/td><td class=\"good\">predictable, with volume tiers<\/td><\/tr>\n<tr><th>Traceability<\/th><td class=\"crit\">one overall accuracy rate<\/td><td>no confidence per field<\/td><td class=\"good\">a confidence score per field<\/td><\/tr>\n<\/tbody><\/table><\/div><\/div><\/section>\n<section><div class=\"wrap\">\n<div class=\"section-head\"><span class=\"eyebrow\">How Parashift works<\/span><h2>Visual language models instead of templates.<\/h2><p>Image, text and layout are processed together rather than treating position and text separately. New document types are created through versioned configuration in natural language, reviewable before activation and reversible.<\/p><\/div>\n<div class=\"compliance-line\">\n<span><span class=\"dot\"><\/span>Processing in Germany, Switzerland or the EU<\/span>\n<span><span class=\"dot\"><\/span>BSI C5 2020<\/span>\n<span><span class=\"dot\"><\/span>ISO 27001<\/span>\n<span><span class=\"dot\"><\/span>SOC 2 Type II<\/span>\n<span><span class=\"dot\"><\/span>Processing on your behalf under GDPR<\/span>\n<\/div><\/div><\/section>\n\n<section class=\"alt\"><div class=\"wrap\">\n<div class=\"section-head\"><span class=\"eyebrow\">Where it matters<\/span><h2>The distinction in practice.<\/h2><\/div>\n<div class=\"featuregrid\">\n<div class=\"feat\"><div class=\"feat-ic\"><svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.6\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><rect x=\"4\" y=\"3\" width=\"16\" height=\"18\" rx=\"1.5\"><\/rect><path d=\"M8 8h8M8 12h8M8 16h5\"><\/path><\/svg><\/div><h4>Accounts payable<\/h4><p>Supplier invoices with line items and a three-way match against order and delivery note. The case where template OCR fails first.<\/p><\/div>\n<div class=\"feat\"><div class=\"feat-ic\"><svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.6\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><rect x=\"4\" y=\"3\" width=\"16\" height=\"18\" rx=\"1.5\"><\/rect><path d=\"M8 8h8M8 12h8M8 16h5\"><\/path><\/svg><\/div><h4>Banking<\/h4><p>Creditworthiness assessment, mortgage dossiers, AML onboarding. Client data stays inside the agreed legal zone.<\/p><\/div>\n<div class=\"feat\"><div class=\"feat-ic\"><svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.6\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><rect x=\"4\" y=\"3\" width=\"16\" height=\"18\" rx=\"1.5\"><\/rect><path d=\"M8 8h8M8 12h8M8 16h5\"><\/path><\/svg><\/div><h4>Insurance and pensions<\/h4><p>Benefit claims, loss notifications, incapacity certificates, vesting benefits. Plenty of handwriting, plenty of layouts.<\/p><\/div>\n<div class=\"feat\"><div class=\"feat-ic\"><svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.6\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><rect x=\"4\" y=\"3\" width=\"16\" height=\"18\" rx=\"1.5\"><\/rect><path d=\"M8 8h8M8 12h8M8 16h5\"><\/path><\/svg><\/div><h4>Healthcare<\/h4><p>Physician letters, findings, medication lists and external reports into the hospital information system.<\/p><\/div>\n<div class=\"feat\"><div class=\"feat-ic\"><svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.6\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><rect x=\"4\" y=\"3\" width=\"16\" height=\"18\" rx=\"1.5\"><\/rect><path d=\"M8 8h8M8 12h8M8 16h5\"><\/path><\/svg><\/div><h4>Logistics<\/h4><p>Delivery notes, freight papers and customs documents, often as a phone photograph.<\/p><\/div>\n<div class=\"feat\"><div class=\"feat-ic\"><svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.6\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><rect x=\"4\" y=\"3\" width=\"16\" height=\"18\" rx=\"1.5\"><\/rect><path d=\"M8 8h8M8 12h8M8 16h5\"><\/path><\/svg><\/div><h4>Public sector<\/h4><p>Applications and follow-up submissions with completed paper forms, which is where ICR is needed.<\/p><\/div>\n<\/div><\/div><\/section>\n\n<section><div class=\"wrap\">\n<div class=\"section-head\"><span class=\"eyebrow\">Customers and analysts<\/span><h2>Voices from the market.<\/h2><\/div>\n<div class=\"tmngrid\">\n<div class=\"tmn\"><p class=\"tmn-q\">With your technology, comprehensive capabilities and a convincing product strategy, Parashift is well positioned to expand globally.<\/p><div class=\"tmn-who\"><div class=\"tmn-name\">Pranjal Singh<\/div><div class=\"tmn-role\">Analyst, QKS Group<\/div><\/div><\/div>\n<div class=\"tmn\"><p class=\"tmn-q\">Introducing Parashift AI in the mailroom has allowed SWICA to process large document volumes more reliably and far more efficiently.<\/p><div class=\"tmn-who\"><div class=\"tmn-name\">Reto Beeler<\/div><div class=\"tmn-role\">Team Lead AM, SWICA health insurance<\/div><\/div><\/div>\n<div class=\"tmn\"><p class=\"tmn-q\">Parashift AI helps us process large volumes of data reliably, so we can focus on more rewarding and more valuable work.<\/p><div class=\"tmn-who\"><div class=\"tmn-name\">Roy Hageman<\/div><div class=\"tmn-role\">Product Owner, Acture<\/div><\/div><\/div>\n<\/div><\/div><\/section><section class=\"alt\"><div class=\"wrap\"><div class=\"section-head\"><span class=\"eyebrow\">Frequently asked<\/span><h2>OCR, ICR and IDP, answered briefly.<\/h2><\/div><div class=\"faqlist\"><details class=\"qa\"><summary>What is the difference between OCR and intelligent document processing?<span class=\"qa-ic\"><svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\"><path d=\"M6 9l6 6 6-6\"><\/path><\/svg><\/span><\/summary><div class=\"qa-a\">OCR detects characters in an image and returns text. Intelligent document processing additionally identifies the document type, splits mixed batches, extracts the business fields including line items, matches them against master data and returns a confidence score per field. OCR returns characters, IDP returns decidable data.<\/div><\/details><details class=\"qa\"><summary>Is OCR the same as ICR?<span class=\"qa-ic\"><svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\"><path d=\"M6 9l6 6 6-6\"><\/path><\/svg><\/span><\/summary><div class=\"qa-a\">No. OCR reads machine-set text, ICR reads handwriting. Both return characters, not meaning.<\/div><\/details><details class=\"qa\"><summary>Do I still need OCR if I use intelligent document processing?<span class=\"qa-ic\"><svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\"><path d=\"M6 9l6 6 6-6\"><\/path><\/svg><\/span><\/summary><div class=\"qa-a\">Not as a separate product. Character recognition is part of an IDP platform. What goes away is the separate maintenance of templates and rules.<\/div><\/details><details class=\"qa\"><summary>Does intelligent document processing replace my document management system?<span class=\"qa-ic\"><svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\"><path d=\"M6 9l6 6 6-6\"><\/path><\/svg><\/span><\/summary><div class=\"qa-a\">No. IDP is the layer in front of it. It turns the document into structured data and hands that to the DMS, the ERP or the core system.<\/div><\/details><details class=\"qa\"><summary>How quickly is a new document type in production?<span class=\"qa-ic\"><svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\"><path d=\"M6 9l6 6 6-6\"><\/path><\/svg><\/span><\/summary><div class=\"qa-a\">At Parashift within days. New types are created through configuration that is versioned, reviewable before activation and reversible at any time. There is no per-customer training project.<\/div><\/details><details class=\"qa\"><summary>Where are the documents processed?<span class=\"qa-ic\"><svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\"><path d=\"M6 9l6 6 6-6\"><\/path><\/svg><\/span><\/summary><div class=\"qa-a\">In Germany, Switzerland or the EU. On-premise and sovereign operation are possible because the models are small and task-specific. Attestations: BSI C5 2020, ISO 27001 and SOC 2 Type II.<\/div><\/details><\/div><\/div><\/section><section class=\"finalcta\"><div class=\"wrap\">\n<h2>See it on one of your own documents.<\/h2>\n<p>We take a real document from your intake and show classification, extraction and the confidence score per field.<\/p>\n<div class=\"ctas\"><a class=\"btn\" href=\"\/en\/demo\/\">Book a demo<\/a><a class=\"btn ghost\" href=\"\/en\/pricing\/\">See pricing<\/a><\/div>\n<p class=\"note\">Minimum annual subscription CHF 18 000 or EUR 19 000, including a defined page volume.<\/p>\n<\/div><\/section><\/div>\n<script type=\"application\/ld+json\">{\"@context\":\"https:\/\/schema.org\",\"@type\":\"FAQPage\",\"mainEntity\":[{\"@type\":\"Question\",\"name\":\"What is the difference between OCR and intelligent document processing?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"OCR detects characters in an image and returns text. 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It turns the document into structured data and hands that to the DMS, the ERP or the core system.\"}},{\"@type\":\"Question\",\"name\":\"How quickly is a new document type in production?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"At Parashift within days. New types are created through configuration that is versioned, reviewable before activation and reversible at any time. There is no per-customer training project.\"}},{\"@type\":\"Question\",\"name\":\"Where are the documents processed?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"In Germany, Switzerland or the EU. On-premise and sovereign operation are possible because the models are small and task-specific. Attestations: BSI C5 2020, ISO 27001 and SOC 2 Type II.\"}}]}<\/script>\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Parashift\/Platform\/OCR and document processing Fundamentals \u00b7 OCR, ICR and IDP OCR, ICR and intelligent document processing: the difference OCR turns pixels into text. Intelligent document processing also understands what that text means: which document type it is, which field carries&#8230;<\/p>\n","protected":false},"author":9,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"content-type":"","footnotes":""},"class_list":["post-37453","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/parashift.ai\/en\/wp-json\/wp\/v2\/pages\/37453","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/parashift.ai\/en\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/parashift.ai\/en\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/parashift.ai\/en\/wp-json\/wp\/v2\/users\/9"}],"replies":[{"embeddable":true,"href":"https:\/\/parashift.ai\/en\/wp-json\/wp\/v2\/comments?post=37453"}],"version-history":[{"count":21,"href":"https:\/\/parashift.ai\/en\/wp-json\/wp\/v2\/pages\/37453\/revisions"}],"predecessor-version":[{"id":59357,"href":"https:\/\/parashift.ai\/en\/wp-json\/wp\/v2\/pages\/37453\/revisions\/59357"}],"wp:attachment":[{"href":"https:\/\/parashift.ai\/en\/wp-json\/wp\/v2\/media?parent=37453"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}