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PDF OCR

Model:
Turn a scanned PDF into selectable, searchable text. Rasterizes each page at 200 DPI and runs OCR — pick Tesseract (fast, free), GOT-OCR2 (better for multi-column + tables), or premium fal OCR (best for degraded / historic scans). Output as .txt, .docx, or page-labelled text. Got an image, not a PDF? Use /ocr/ →

Drag a scanned PDF here or click to upload

PDF up to 50 MB. Works on scanned + image-only PDFs. Already text-selectable? You do not need OCR.

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This PDF already has selectable text — you may not need OCR. Try Summarizer →
Password-protected — unlock it first. Unlock PDF →
Tesseract for clean printed scans. GOT-OCR2 for multi-column papers + Asian scripts. Premium only when every pixel matters.
Language hint speeds Tesseract 2-3× and boosts accuracy 30-50% on non-Latin scripts.
Token estimate
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Upload a PDF to see the exact cost.
OCR result
_Ṣàfikún 

        

    

    






    
When to use PDF OCR

    

        
Invoices + receipts
Turn a stack of scanned invoices into editable text for bookkeeping, reimbursements, or AP automation.

        
Old books + archives
Digitize out-of-print books, historic documents, or library archives into searchable text.

        
Legal + medical records
Unlock text inside scanned case files, medical reports, or faxed documents for discovery + eDiscovery workflows.

        
Before translation
Run OCR to extract text, then feed the result into /pdf/translator/ for any-to-any language conversion.

    


    
Free.ai PDF OCR vs the paid tools

    

        

            
Free.aiAdobe Acrobat ProABBYY FineReaderSmallpdf

            
                
Starting priceFree$19.99/mo$199 one-time$9/mo

                
Pick OCR engine (3)———

                
Languages100+40+200+20+

                
Public API———

                
Works without signup———

            
        

    




                        
                        

                        
                        
                        

                            Advanced options
                            

                                

                                    
                                

                                

                                    
                                

                            

                        

                    

                    
                


                
                

                    

                        

                            

                                
Àwọn Àtòjọ-ẹ̀yàn

                                

                                    
                                    
                                    
                                

                            

                            

                        

                    

                


                
                

                    

                         Tokens running low. 
                        Get More Tokens
                    

                


                
                

                    

                         Want better results? Premium models (GPT-5, Claude, Gemini) deliver higher quality.
                        View Plans
                    

                


                
                

                    
                    

                        
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                            Ṣẹ̀dà
                        

                    

                    
                


                
                

                    
                    
Ń ṣàfihàn àgbèwọlé rẹ̀...

                    

                        

                    

                


                
                
Turn scanned PDFs into selectable, searchable text. Tesseract, GOT-OCR2, and premium OCR engines. 99 languages. Free.

            

        

    







    

        

            

                
Bii o ṣe le lo PDF OCR

                

                    

                        

                            1
                        

                        
Fi àwọn ìṣàmúlò-ètò rẹ̀ pamọ́

                        
Ṣàfihàn àkọlé, láti fi fáìlì pamọ́, tàbí láti ṣàfihàn ohun tí o fẹ́. Kò ní àwọn àwọn kọ́̀ǹpútà tí a fẹ́.

                    

                    

                        

                            2
                        

                        
Tẹ̀ láti ṣẹ̀dà

                        
AI wá ń ṣé iṣẹ́ àgbèkalẹ̀ rẹ̀ nínú àwọn ìṣísẹ̀ láti ló àwọn módèlè̀ tí a ṣí lè lò.

                    

                    

                        

                            3
                        

                        
Ṣàfikún & Àwọn Àkọsílẹ̀

                        
Ṣàfihàn, kọ́, tàbí fi àwọn àwọn àwọn àwọn àwọn àwọn àwọn àwọn àwọn àwọn àwọn àwọn àwọn àwọn àwọn àwọn àwọn àwọn àwọn àwọn àwọn àwọn àwọn àwọn àwọn àwọn àwọn àwọn àwọn àwọn àwọn àwọn àwọn àwọn àwọn àwọn àwọn

                    

                

            

        

    








    

        

            

                
Use this tool via API

                
Automate this tool from your own code. OpenAI-compatible REST endpoint, Bearer-token auth, no extra SDK required. Token costs match the web interface.

                

                    API Documentation
                    Get API Key
                

            

            

                
curl -X POST https://api.free.ai/v1/pdf/extract/ \
  -H "Authorization: Bearer sk-free-..." \
  -H "Content-Type: application/json" \
  -d '{"file": "@document.pdf"}'

            

        

    










    

        
Àwọn Àṣẹ AI Fúnràn

        

            
            

                
                    PDF Tools
                
            

            
            

                
                    PDF Summarizer
                
            

            
            

                
                    Chat with PDF
                
            

            
            

                
                    Free AI OCR
                
            

            
            

                
                    AI PDF Editor
                
            

            
            

                
                    PDF to Word
                
            

            
            

                
                    PDF to Excel
                
            

            
            

                
                    PDF to PowerPoint
                
            

            
        

    









    

        

            

                
PDF OCR — FAQ

                

                    
                    

                        

                            
                        

                        

                            
Turn scanned PDFs (image-only, unselectable text) into searchable, copyable, AI-readable text. Upload a PDF of scanned pages — invoices, contracts, old books, handwritten notes — and get back plain text, .docx, or page-numbered text.

                        

                    

                    
                    

                        

                            
                        

                        

                            
About 500 tokens per page on our self-hosted Tesseract OCR (free-tier). GOT-OCR2 costs ~800/page and handles complex layouts (multi-column, tables, equations) better. Premium fal OCR runs ~2,500/page for the highest accuracy on degraded scans. 800-token floor on all three so 1-page uploads are not pure overhead.

                        

                    

                    
                    

                        

                            
                        

                        

                            
Tesseract (default, free) for clean printed scans. GOT-OCR2 (free, slower) for multi-column research papers, scientific equations, or Asian-language documents — it has a much better layout model. Premium fal OCR only for degraded / low-resolution / historic scans where every pixel matters.

                        

                    

                    
                    

                        

                            
                        

                        

                            
Tesseract supports 100+ languages including Latin, Chinese, Japanese, Korean, Arabic, Cyrillic, Hebrew, Hindi, Thai, Vietnamese. Pass a language hint (eng/spa/fra/deu/jpn/chi_sim/ara/etc.) for 30-50% better accuracy — auto-detect works but is slower.

                        

                    

                    
                    

                        

                            
                        

                        

                            
Three: .txt (plain, one file for the whole document), .docx (Word with page breaks preserved), and page-wise .txt (===== Page N ===== headers between pages so you can find a specific page in the output).

                        

                    

                    
                    

                        

                            
                        

                        

                            
On clean 300-DPI scans, 99%+ on printed Latin script. Drops to 90-95% on 150-DPI scans, faded documents, or handwriting. Non-Latin scripts (Chinese, Arabic, Hindi) do much better with a language hint and GOT-OCR2 rather than Tesseract.

                        

                    

                    
                    

                        

                            
                        

                        

                            
Handwriting OCR is much harder than printed text — expect 70-85% accuracy even on the premium OCR. For clean hand-printed forms (not cursive) on white paper, Tesseract is usable. For cursive / messy notes, premium fal OCR with the handwriting mode is more reliable.

                        

                    

                    
                    

                        

                            
                        

                        

                            
About 1-3 seconds per page on Tesseract, 3-5 seconds on GOT-OCR2, 5-10 seconds on premium fal. A 50-page scanned book takes 1-3 minutes — the heavy-task banner lets you close the tab and get the result emailed when it finishes.

                        

                    

                    
                    

                        

                            
                        

                        

                            
No. Uploaded PDFs are rasterized, OCRed page by page, then deleted. The output file is kept on our CDN for 24 hours (7 days on a paid plan) at the share link.

                        

                    

                    
                    

                        

                            
                        

                        

                            
Not directly. Unlock it at /pdf/unlock/ first (if you have the password), then come back. We detect encryption on upload and link you to the unlock tool.

                        

                    

                    
                    

                        

                            
                        

                        

                            
Free.ai is free, offers 3 OCR engines (pick by doc type), supports 99 languages, and ships a public API. Adobe Acrobat Pro ($19.99/mo, 1 engine), ABBYY FineReader ($199 one-time, no API), Smallpdf ($9/mo, 1 engine). Our OCR quality on clean scans matches Adobe; on historic scans premium fal rivals ABBYY.

                        

                    

                    
                    

                        

                            
                        

                        

                            
Yes — POST multipart to /v1/pdf/ocr/ with file + language + model + output_format fields. Quote endpoint: /v1/pdf/ocr-quote/?pages=N&model=M. Full curl recipe at /api/.

                        

                    

                    
                

            

        

    









    

        
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