ExactRead

Scanned PDF OCR

Image to Text PDF — Extract Text from Scanned PDFs

Image to text PDF on ExactRead: upload a scanned or image-based PDF, compare OCR engines, review extracted text beside the original pages, then export TXT or JSON.

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Scanned PDFs are images, not text

A scanned PDF contains page photographs — the document was printed, scanned, and saved as a PDF without any underlying text layer. Copy-paste returns nothing because there is nothing selectable. Image to text PDF extraction works differently: an OCR engine reads each page as an image, recognises the characters, and produces a text layer you can copy, search, and edit. ExactRead routes your scanned PDF through multiple OCR engines simultaneously so you can see which one reads your pages most faithfully before you accept an output.

Why PDF image to text needs model comparison

Scanned PDFs vary enormously: a sharp office scan is easy; a faded photocopy with skew and bleed-through is hard. Native OCR engines such as Mistral OCR, AWS Textract, and Azure Document Intelligence are trained on high-volume document scanning scenarios and handle tables, stamps, and structured forms well. Vision models add context-aware reading that helps on damaged or irregular pages. Running both types on your PDF in compare mode exposes the real difference on your content, not a benchmark, so you standardise on the engine that works for your specific documents.

How ExactRead compares to Adobe Acrobat and iLovePDF

Adobe Acrobat Pro's built-in OCR applies one engine to your PDF and delivers a single result. iLovePDF routes scanned PDFs through a fixed OCR pipeline. ExactRead is different: it runs image to text PDF through several engines on the same file in one job, shows confidence and warnings per page, and lets you pick the output that reads most accurately. If the first engine misreads a column header or a decimal in a table, a second model's output often catches it. The goal is not the fastest result — it is the most reviewable one.

Tables, columns, and structured layouts in scanned PDFs

Scanned PDFs that contain tables, multi-column text, or form fields are the hardest image to text PDF cases. The text runs in the wrong reading order, numbers migrate between cells, and form fields merge with labels. Native OCR engines with explicit table and form support — AWS Textract and Azure Document Intelligence — are the strongest starting point for these layouts. Compare their output against Mistral OCR on the same file and check that totals, line items, and column boundaries match the original page before exporting.

How it works

  1. 1

    Upload your scanned PDF

    Drop a scanned PDF onto the workbench or click to browse. Supported inputs are PNG, JPEG, and WebP images, plus PDF for PDF-capable models.

  2. 2

    Let ExactRead filter the models

    After upload, the model list is filtered to the OCR engines that actually support your file, so you never start a job that cannot run.

  3. 3

    Run one model or compare several

    Choose a single model when speed and cost matter, or compare mode to run several OCR models on the same scanned PDF at once.

  4. 4

    Review confidence and warnings

    Each result keeps its model, status, confidence, and warnings, with the recommended output highlighted so you can judge accuracy quickly.

  5. 5

    Accept and export TXT or JSON

    Accept the output that reads your scanned PDF most faithfully, then copy it or export TXT or JSON for the next step.

Models that suit this document type

Capability, format support, and credits come straight from the model catalog — a starting point, not a ranking. Test on your own documents to decide.

ModelProviderTypeFormatsCredits / doc
Mistral OCRMistral AINative OCR engineImages and PDF2
AWS TextractAWSNative OCR engineImages and PDF2
Azure Document IntelligenceMicrosoft AzureNative OCR engineImages and PDF2
PaddleOCRBaidu PaddlePaddleNative OCR engineImages and PDF1
Google Cloud Vision OCRGoogleNative OCR engineImages and PDF2
olmOCR 2Allen Institute for AINative OCR engineImages and PDF1

Supported formats

Scanned and image-based PDFs — multi-page files upload directly

Model guidance

Native OCR: Mistral OCR, Textract, Azure; start with Textract for tables

Credit note

Each model run charged per document; free plan: 100 credits/month

Back to ExactRead homeView OCR credit pricing

Frequently asked questions

What is an image-based PDF versus a text PDF?

A text PDF stores selectable characters — you can copy text directly. An image-based or scanned PDF stores page photographs with no text layer, so copy-paste returns nothing. Image to text PDF extraction uses OCR to create a text layer from the page images.

Which OCR models handle scanned PDFs best?

Native OCR engines like Mistral OCR, AWS Textract, Azure Document Intelligence, and Google Cloud Vision are trained for document scanning and handle multi-page scanned PDFs directly. For tables and structured forms, start with Textract or Azure; for dense text, Mistral OCR is a good first choice. Compare two on your file to see which reads your scan most accurately.

Do I need to convert the PDF to images first?

No. Native OCR engines like Mistral OCR, AWS Textract, Google Cloud Vision, and PaddleOCR accept PDF files directly. ExactRead handles the conversion internally — upload the PDF and run OCR without any pre-processing step.

How accurate is image to text PDF extraction?

Accuracy depends on scan quality, page layout, and the engine. A clean, high-resolution, single-column scan will read very accurately; a faded, skewed, or multi-column scan will have more errors. ExactRead shows confidence and warnings per result so you can identify which pages need manual review before exporting.

Can I extract tables from a scanned PDF?

Yes. Native OCR engines with table support — AWS Textract and Azure Document Intelligence — detect and preserve table structure in the structured JSON export. Complex or irregular tables should be checked against the original PDF pages before use.

How is ExactRead different from Adobe Acrobat OCR?

Adobe Acrobat applies one OCR engine and returns one result. ExactRead runs several engines on the same scanned PDF in one job and shows confidence and warnings per output, so you can catch errors by comparing before you accept. You also export the output you trust, not the output Adobe chose for you.