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Supported Formats
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Word Processing
Microsoft Word 97-2003 Document - legacy binary format used by older Word versions. Supports rich text formatting, images, tables, and complex layouts. Maximum compatibility with legacy systems and older Microsoft Office versions (Office 97-2007). File sizes typically larger than modern DOCX. Common in corporate archives, legacy document management systems, and environments requiring backwards compatibility. Still widely supported but superseded by DOCX for new documents.
Microsoft Word 2007+ Document - modern XML-based format providing better compression (40-75% smaller than DOC), improved recovery from corruption, and enhanced features. Open XML standard with better data extraction capabilities. Supports all Word features including styles, themes, SmartArt, advanced formatting, and embedded objects. Industry standard for word processing. Native format for Microsoft Word 2007+, compatible with Google Docs, LibreOffice, and all modern office suites. Essential for professional documents, collaborative editing, and modern workflows.
OpenDocument Text - open standard format for word processors developed by OASIS consortium. Native format for LibreOffice Writer and Apache OpenOffice Writer. XML-based structure ensuring long-term accessibility and vendor independence. Supports advanced formatting, styles, images, tables, and all standard word processing features. Excellent for open-source environments, government documents (mandated in many countries), and avoiding vendor lock-in. Free from licensing restrictions and patent concerns.
Rich Text Format - universal document format developed by Microsoft (1987) for cross-platform text exchange. Readable by virtually all word processors (Word, WordPad, LibreOffice, Google Docs, Pages). Supports basic formatting (fonts, colors, styles, tables) without complex features. Larger file sizes than modern formats but maximum compatibility. Perfect for sharing formatted documents across different systems, email attachments ensuring readability, and legacy system compatibility. Reliable intermediate format for document conversion.
Word Macro-Enabled Document - DOCX format with embedded VBA macros. Supports automation, custom functions, and advanced document processing. Security risk if macros from untrusted sources. Used in business environments for automated document workflows. Same features as DOCX plus programmability. Perfect for automated reports, form processing, and document generation. Requires macro security settings in Word. Convert to DOCX to remove macros for safer sharing.
Word 97-2003 Template - legacy template format for Microsoft Word. Contains styles, formatting, and placeholder content for document creation. Binary format compatible with old Word versions. Larger file sizes than DOTX. Common in corporate environments with standardized documents. Perfect for letterheads, forms, and recurring document types. Being replaced by DOTX. Convert to DOTX for modern Word compatibility and smaller file sizes.
Word Template - modern XML-based template format for Microsoft Word 2007+. Contains styles, themes, formatting, and boilerplate content. Smaller file sizes than DOT. Used for standardized documents, letterheads, forms, and corporate templates. Opens as new document preserving template. Perfect for consistent branding and document standardization. Industry standard for Word templates. Compatible with modern Office versions and alternatives.
Word Macro-Enabled Template - DOTX template with embedded VBA macros. Combines template functionality with automation. Used for automated document generation and complex form processing. Security considerations for macro-enabled templates. Perfect for business workflows requiring automated document creation. Common in enterprise environments. Requires macro-enabled Word. Remove macros and convert to DOTX for safer distribution.
AbiWord Document - native format for AbiWord word processor (open-source alternative to Microsoft Word). XML-based lightweight format supporting basic word processing features including formatting, tables, images, and styles. Smaller file sizes than DOC/DOCX. Compatible with AbiWord on Windows, Linux, and Mac. Good RTF compatibility for cross-application usage. Perfect for lightweight word processing in open-source environments. Limited support outside AbiWord. Convert to DOCX or PDF for wider compatibility.
Applix Word Document - legacy format from Applix Words word processor (1990s Unix/Linux). Proprietary format with limited modern support. Historical format from early Unix office suites. Rarely encountered except in legacy system migrations. Convert to modern formats (ODT, DOCX, PDF) for accessibility. Important for recovering documents from old Applix installations. Better alternatives available for all use cases.
DocBook XML - semantic markup format for technical documentation. XML-based structure focusing on content over presentation. Widely used in software documentation, technical manuals, and publishing. Separates content from formatting enabling multiple output formats (PDF, HTML, EPUB). Perfect for complex technical documentation requiring version control and multiple output formats. Standard in open-source documentation. Requires XSLT processing for readable output.
KWord Document - native format for KWord word processor (part of KOffice/Calligra Suite). XML-based format for KDE office applications. Supports frames-based layout for flexible document design. Less common than mainstream formats. Linux-centric format with limited Windows/Mac support. Convert to ODT or DOCX for wider compatibility. Historical format from KDE office suite evolution. Better alternatives available for modern use.
OpenOffice.org 1.0 Writer - legacy OpenDocument format predecessor. XML-based format from OpenOffice.org 1.x era (2002-2005). Replaced by ODT in OpenOffice 2.0. Supported by older OpenOffice and LibreOffice versions. Convert to ODT for modern compatibility. Historical format important for accessing old OpenOffice documents. Modern LibreOffice can open but saving in ODT recommended.
Plain Text - simplest document format containing only unformatted ASCII or Unicode characters. No fonts, colors, images, or layout information. Universal compatibility across all platforms, text editors, and systems. Smallest possible file sizes. Perfect for notes, code, scripts, logs, and any situation requiring absolute simplicity and portability. Essential format for programming, configuration files, data exchange, and scenarios where formatting is unnecessary. Works on any device from mainframes to smartphones.
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Microsoft Excel 97-2003 Workbook - legacy binary spreadsheet format supporting up to 65,536 rows and 256 columns per sheet. Contains formulas, formatting, charts, and multiple worksheets. Compatible with older Excel versions (Excel 97-2007). File size limited to ~30MB. Common in legacy business systems, old financial databases, and environments requiring Excel 97-2003 compatibility. Being replaced by XLSX but still encountered in corporate archives and legacy data systems.
Microsoft Excel 2007+ Workbook - modern XML-based spreadsheet format with 1,048,576 rows and 16,384 columns per sheet. Provides better compression (75% smaller than XLS), improved recovery from corruption, and enhanced features. Supports all Excel capabilities including formulas, pivot tables, charts, conditional formatting, and macros (in XLSM variant). Industry standard for spreadsheets. Compatible with Google Sheets, LibreOffice Calc, and all modern office suites. Essential for data analysis, financial modeling, and business intelligence.
OpenDocument Spreadsheet - open standard format for spreadsheet applications developed by OASIS. Native format for LibreOffice Calc and Apache OpenOffice Calc. XML-based structure ensuring data accessibility and vendor independence. Supports formulas, charts, multiple sheets, and standard spreadsheet features. Excellent for open-source workflows, government use (mandated by many countries), and avoiding Microsoft Office licensing. Free from proprietary restrictions with long-term document accessibility guarantees.
Comma-Separated Values - simple text format for tabular data where each line represents a row and commas separate columns. Universal data exchange format readable by all spreadsheet applications, databases, and programming languages. No formatting, formulas, or multiple sheets - pure data only. Smallest file sizes for tabular data. Perfect for data import/export, database operations, data analysis with Python/R, and sharing datasets. Essential format for data science, web applications, and system integration. Works with Excel, databases, and any data processing tool.
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Microsoft PowerPoint 97-2003 Presentation - legacy binary format for slide presentations. Supports slides, animations, transitions, embedded media, and speaker notes. Compatible with older PowerPoint versions (PowerPoint 97-2007). File sizes larger than modern PPTX. Common in legacy presentation archives, older corporate training materials, and environments requiring backwards compatibility. Still playable but superseded by PPTX for new presentations. Found in archived presentations from pre-2007 era.
Microsoft PowerPoint 2007+ Presentation - modern XML-based format providing better compression (up to 75% smaller than PPT), improved recovery, and enhanced multimedia support. Supports all PowerPoint features including advanced animations, transitions, embedded videos, SmartArt, themes, and master slides. Industry standard for presentations. Native format for PowerPoint 2007+, compatible with Google Slides, LibreOffice Impress, and Keynote. Essential for business presentations, educational slideshows, and professional communication.
OpenDocument Presentation - open standard format for presentation software developed by OASIS consortium. Native format for LibreOffice Impress and Apache OpenOffice Impress. XML-based structure ensuring long-term accessibility. Supports slides, animations, transitions, multimedia, and standard presentation features. Excellent for open-source environments, government presentations, and avoiding vendor lock-in. Free from licensing restrictions. Compatible with PowerPoint through conversion but best used within open-source office suites.
Other Formats
Portable Document Format - universal document format developed by Adobe maintaining exact visual appearance across all platforms and devices. Preserves fonts, images, layouts, and formatting precisely. Industry standard for document distribution, official documents, forms, archival, and printing. Not designed for editing (though modern tools allow limited editing). Supports encryption, digital signatures, forms, annotations, and accessibility features. Essential for contracts, invoices, reports, e-books, and any document requiring consistent appearance. Most widely supported document format globally.
DjVu Document - specialized format for scanned documents, books, and manuscripts. Superior compression for bitonal and color scanned images. Smaller than PDF for scanned content (3-10x). Supports OCR text layer, annotations, and bookmarks. Perfect for digital libraries, scientific papers, historical documents, and scanned books. Specialized viewers required (DjVuLibre, browser plugins). Excellent for archiving paper documents digitally. Convert to PDF for broader accessibility.
XML Paper Specification - Microsoft's document format similar to PDF. Fixed-layout format preserving exact document appearance. Native support in Windows Vista+. Supports vector graphics, fonts embedding, and digital signatures. Alternative to PDF in Windows environments. Limited support outside Windows ecosystem. Perfect for Windows-only document distribution. Convert to PDF for universal compatibility across all platforms.
Open XML Paper Specification - standardized version of XPS as ECMA standard. Same features as XPS with formal specification. Better cross-platform support than original XPS. Fixed-layout document format with vector graphics support. Used in some Windows applications and printers. Limited adoption compared to PDF. Convert to PDF for maximum compatibility. Mainly relevant in Windows printing workflows.
Markdown - lightweight markup language using plain text formatting syntax for creating formatted documents. Simple symbols (* for italics, ** for bold, # for headings) convert to HTML. Human-readable in plain text. Perfect for README files, documentation, blogs, note-taking, and technical writing. Popular among developers, technical writers, and content creators. Supports headers, lists, links, images, code blocks, and basic formatting. Extremely portable and future-proof. Foundation of many static site generators and documentation systems.
HyperText Markup Language - standard markup language for web pages containing text, images, links, and multimedia. Readable in any web browser without special software. Supports styling (CSS), interactivity (JavaScript), and rich media embedding. Universal web standard since 1991. Perfect for web publishing, online documentation, email newsletters, and accessible content. Extremely portable with guaranteed long-term support. Can be converted from documents for web distribution or archived for offline viewing.
Electronic Publication - open standard e-book format based on HTML, CSS, and XML. Reflowable text adapts to any screen size. Supports fonts, images, metadata, table of contents, and CSS styling. Industry standard for e-books compatible with most e-readers (Kindle via conversion, Kobo, Nook, Apple Books, Google Play Books). Perfect for digital publishing, self-publishing, and distributing long-form content. EPUB 3 adds multimedia and interactivity. Essential format for authors, publishers, and digital libraries.
How to Convert Files
Upload your files, select output format, and download converted files instantly. Our converter supports batch conversion and maintains high quality.
Frequently Asked Questions
What is a DJVU file and why was it designed as a high-compression alternative to PDF?
A DJVU file is a document format created for extremely efficient storage of scanned books, magazines, technical papers, and archival documents. It compresses text, line art, and images far more aggressively than PDF while still remaining readable.
DJVU uses a layered compression pipeline—separating background, foreground, and text bitmaps—to keep file sizes tiny even for high-resolution scans. This architecture makes DJVU ideal for digitizing large libraries or distributing scanned publications over low-bandwidth connections.
The format became popular in academic, archival, and open-knowledge communities because it produces files 5×–10× smaller than comparable PDFs without visibly degrading page quality.
Why does DJVU compress scans so much smaller than PDF?
PDF often embeds full-resolution images or requires heavy image layers to preserve detail, causing large file sizes for scanned documents.
DJVU uses specialized wavelet compression (IW44), text segmentation, and a technique called JB2 for compressing repeating glyph shapes—greatly reducing redundant information.
This allows DJVU to maintain readable pages while keeping total file size extremely small, especially in documents with lots of text and illustrations.
Why is DJVU considered ideal for digital libraries and archival scans?
Its file sizes remain manageable even when storing thousands of scanned books, making it efficient for institutional servers, online repositories, and personal collections.
The format preserves high readability for printed material while minimizing storage cost—critical for academic and historical archives.
The structure of DJVU also supports quick previewing and progressive loading, perfect for large multi-page documents accessed over slow networks.
Why do DJVU files load faster than many PDFs?
DJVU uses a progressive rendering system: low-resolution layers appear first, and higher-detail layers load afterward.
Because pages are stored independently, a viewer can jump instantly to any page without processing the entire document.
This page-independence and layered caching make DJVU smooth even for very large books.
Why does DJVU sometimes appear blurry compared to PDF?
DJVU prioritizes compression efficiency, so text and illustrations may use lossy techniques that slightly soften edges.
If the source scan was low quality or compressed too aggressively, artifacts become more noticeable.
High-quality DJVU files, however, can look extremely sharp—especially when text layers are properly segmented.
Why do some users convert DJVU to PDF?
Many modern devices and e-readers lack native DJVU support, while PDF is universally recognized.
Converting to PDF provides better compatibility with annotation tools, printers, and mobile readers.
However, conversion often increases file size significantly due to PDF’s less efficient handling of scanned text.
Why isn’t DJVU widely supported by mainstream office tools?
DJVU originated from research and open-source communities rather than commercial software ecosystems.
Major corporations invested heavily in PDF, limiting demand and commercial incentive for DJVU integration.
As a result, DJVU thrives mainly in niche areas like scientific repositories and open digital archives.
Why does text in DJVU sometimes behave differently than selectable PDF text?
Many DJVU files store text as compressed bitmaps rather than embedded fonts or selectable character streams.
OCR layers may be included, but they aren’t always perfect, so selection, copying, and search accuracy may vary.
When OCR is high-quality, DJVU becomes searchable and copyable similar to PDF text layers.
Why do some scanned books look better in DJVU than in PDF?
DJVU’s separate foreground and background layers preserve printed paper texture without bloating file size.
Images and line art often retain more detail per kilobyte due to wavelet and JB2 compression.
PDF may degrade quality when downsampled or use much larger files to maintain similar clarity.
Why is DJVU still used if PDF is more popular?
Its compression efficiency remains unmatched for scanned material, making it valuable for large archives.
Enthusiasts, researchers, universities, and open-knowledge projects continue to publish DJVU versions for bandwidth-sensitive users.
For certain workflows—especially academic scanning—DJVU simply performs better than PDF.
Why does converting DJVU to text sometimes produce errors?
Not all DJVU files contain embedded OCR layers; many rely entirely on image-based text.
OCR accuracy depends on scan quality, typography, and how well the foreground layer was segmented.
Improved OCR tools can be applied, but results vary based on document condition.
Why can DJVU be edited less flexibly than PDF?
DJVU’s structure is optimized for representing scanned pages—not for editing text, form fields, or layout.
PDF includes extensive interactive and editable layers, while DJVU is closer to a highly compressed image container.
Modifying DJVU typically requires converting to a more editable format first.
Why do some DJVU viewers provide page thumbnails faster than PDF readers?
Thumbnail generation is easier because DJVU stores low-resolution versions of each page separately.
Viewers don’t have to process complex vector data or full-resolution photos before rendering previews.
This is especially noticeable in large multi-hundred-page documents.
Why is DJVU great for long-term academic preservation?
Its compression allows institutions to archive huge collections without massive storage budgets.
The open specification ensures long-term accessibility without vendor lock-in.
DJVU also excels in representing old or fragile printed materials where file size and clarity must be balanced.
Should you use DJVU or PDF for scanned documents?
Choose DJVU if file size is critical, bandwidth is limited, or you’re storing large collections of scanned reading material.
Choose PDF if you need universal compatibility, annotation tools, editable text layers, or professional workflow integration.
Both formats have strengths, but DJVU remains unmatched for highly compressed, readable scans.