Croatian OCR — Image to Text & PDF
Croatian OCR converts images, scans and PDFs containing Croatian (Hrvatski) text into editable, searchable digital text. FastOCR reads Croatian online: upload an image with no account, or a PDF with a free account, then copy the text or download a searchable PDF. Accuracy depends on scan quality, so check the result against your original.
Izdvojite hrvatski tekst iz slika i skeniranih dokumenata
Free · No registration for images · AI-powered
Drop your file here
PDF, PNG, JPG, WebP, BMP, HEIC
PDF up to 1 GB · images up to 20 MB
Tips for a clear photo
- Lay the page flat.
- Use even light, with no shadows.
- Turn off the flash to avoid glare.
- Fill the frame with the page.
What is Croatian OCR & Developer API?
Developer API docs →Croatian OCR is the automated process of converting scanned multi-page PDFs up to 1GB and documents into editable, searchable Croatian text while preserving accents, complex ligatures, and native character shapes. FastOCR reads printed text in this script and generates full-text searchable PDFs with selectable text overlays. For engineering teams building RAG pipelines, vector search databases, or automated document ingestion, FastOCR also provides a Croatian OCR REST API at api.fastocr.org with 50 free pages a month for every signed-in account. The API accepts PDF files up to 1 GiB, and PNG, JPG, JPEG, GIF, WebP and BMP images up to 20 MiB. An image counts as one page.
Caron & acute diacritics
Correctly distinguishes č (c-caron) from ć (c-acute) — a critical Croatian distinction.
Đ stroke letter
Recognizes đ (d-stroke) which is unique to Serbian/Croatian among Latin scripts.
Š & Ž carons
Accurately handles š (s-caron) and ž (z-caron) used throughout Croatian text.
Document processing
Works with Croatian legal, academic, and business documents.
Searchable PDF output
Creates PDFs with invisible text layer for full-text search.
Translate after extraction
Extract Croatian text then translate to English or any language.
Why Croatian OCR Is Challenging
- Distinguishing č (c-caron, "soft ch") from ć (c-acute, "hard ch") — different phonemes with different diacritics
- Recognizing đ (d-stroke) and not confusing it with dj, d, or the Icelandic ð (eth)
- Handling the digraphs lj, nj, and dž which function as single phonemes but are written as two letters
- Processing documents mixing Croatian with Serbian, Bosnian, or Montenegrin which share similar vocabulary
- Correctly interpreting Croatian vocabulary in older documents using pre-standardization orthography
How to Extract Croatian Text from a PDF & Images
- Go to fastocr.org
- Upload your Croatian image or PDF. Language is detected automatically.
- Wait for processing — images take seconds, PDFs show a progress bar.
- Download results: searchable PDF, raw text file, or copy text directly.
Tips for Better Croatian OCR Accuracy
- Scan at 300+ DPI to distinguish č (caron) from ć (acute) — the diacritic shape matters and is small
- Verify đ is preserved as đ (d with stroke) and not replaced with dj, d, or a Cyrillic equivalent
- Check that digraphs lj, nj, dž are maintained as two separate characters (correct Croatian encoding)
- For bilingual Croatian-English documents, ensure script mixing is handled without character corruption
- Review š and ž carons — they can appear as plain s/z or as accented ś/ź in low-resolution scans
Common Use Cases for Croatian OCR
- Digitizing Croatian legal documents, contracts, and court rulings
- Extracting text from Croatian government forms (MUP, OIB, osobna iskaznica)
- Converting scanned Croatian academic papers and university publications
- Processing Croatian business invoices and EU trade documentation
- Archiving historical Croatian documents and Yugoslav-era administrative records
FastOCR vs Standard OCR Apps for Croatian
| Capability | FastOCR Dedicated Cloud AI | Standard Online OCR Tools |
|---|---|---|
| Croatian Script Recognition | ✅ Full native cloud recognition for Croatian (complex alphabets and diacritics) | Limited character sets or unhandled accents |
| Multi-Column & Table Layouts | ✅ Preserves proper paragraph and table alignment | Merges unrelated columns together |
| Searchable PDF/A Output | ✅ Dual-layer searchable PDF with coordinate-aligned text overlay | Plain unformatted text dump only or unsupported |
| Instant Web Access | ✅ Zero software installation (runs in mobile & desktop browser) | Requires local CLI libraries or complex desktop setup |
Frequently Asked Questions
How does Croatian OCR distinguish č from ć?
FastOCR correctly distinguishes č (c-caron with a V-shaped diacritic) from ć (c-acute with a slanted stroke). These represent different phonemes and words in Croatian.
Does it handle the đ character correctly?
Yes. FastOCR recognizes đ (d with horizontal stroke) and distinguishes it from d, dj, and the Icelandic ð. The đ character is critical for Croatian vocabulary.
Can Croatian OCR handle digraphs like lj, nj, and dž?
Yes. Croatian digraphs are correctly processed as two-letter combinations (lj, nj, dž) and not merged into single characters. This is the standard Unicode representation for Croatian.
Is Croatian OCR free?
Image OCR is free with no registration. PDF processing requires a free account — see fastocr.org/pricing for plan details.
Dedicated Croatian Tools
Explore Specialized OCR Workflows
FastOCR provides dedicated AI text recognition engines optimized for complex document types and formats:
Free for images. No registration required.
Related Articles & Resources
Czech OCR
OCR for Czech — shares caron diacritics with Croatian
Slovak OCR
OCR for Slovak — another Slavic language with rich diacritics
Polish OCR
OCR for Polish — shares Slavic language diacritic patterns
Image to Text
Convert any image to editable text instantly
PDF to Text
Extract text from scanned and native PDFs
What is OCR?
Learn how optical character recognition technology works.
How Accurate Is OCR?
Discover the accuracy limits of modern OCR technology.
Croatian OCR Guide
Read the complete guide to Croatian OCR and text extraction.
Free Croatian OCR
Upload & Extract TextLast updated: July 24, 2026