Getting Started

Our file converter uses industry-standard tools to provide high-quality conversions across multiple file types. Here's how to get started:

Simple 4-Step Process

  1. Upload Your File
    Drag and drop your file or click "Browse Files". Maximum file size: 100MB. We automatically detect your file format.
  2. Choose Output Format
    Select your desired output format from our supported options. Only compatible conversions will be shown.
  3. Start Conversion
    Click "Convert Now" and our servers will process your file using professional-grade conversion tools.
  4. Download Result
    Your converted file downloads automatically. Files are deleted from our servers after 2 hours for privacy.

Document Conversion

We use LibreOffice (for office documents) and specialized libraries for document conversions, ensuring high-quality results with preserved formatting.

Supported Document Conversions:

From Format To Format Conversion Method Quality
PDF DOCX pdf2docx library with text extraction fallback High
Word (DOCX) PDF LibreOffice headless conversion Excellent
Excel (XLSX) PDF LibreOffice headless conversion Excellent
Text (TXT) PDF/DOCX LibreOffice conversion Good
OpenDocument (ODT/ODS) PDF/DOCX/XLSX LibreOffice native conversion Excellent
CSV XLSX LibreOffice conversion Excellent
PDF to DOCX conversion uses the pdf2docx Python library for direct conversion, with a fallback to pdftotext + python-docx for text extraction when direct conversion fails.

PDF to Word Conversion Details:

Our PDF to Word Process:
  1. Primary attempt: Direct conversion using pdf2docx library (preserves formatting, images, tables)
  2. Fallback 1: Text extraction using pdftotext, then create DOCX with python-docx
  3. Fallback 2: Create reference document if PDF is unreadable
Best results for PDF to Word: Use PDFs with selectable text rather than scanned images. Complex layouts may require manual formatting adjustments.

Image Conversion

Image conversions are powered by the Python PIL (Pillow) library, providing reliable format support and quality preservation.

Input Formats
JPEG, JPG, PNG, GIF, BMP, TIFF, WEBP, HEIC (and more)
Output Formats
JPEG, PNG, GIF

Format-Specific Processing:

Target Format Special Processing Best Use Case
JPEG/JPG Converts to RGB color mode, 90% quality setting Photos, web images, smaller file sizes
PNG Preserves transparency and alpha channels Graphics with transparency, logos, high quality
GIF Detects and preserves animation, converts static images Simple animations, web graphics
Our system automatically detects animated GIFs and preserves all frames using PIL's save_all=True parameter. Static images are converted to single-frame GIFs.
Converting from PNG to JPEG will remove transparency. Transparent areas will become white in the final image.

Audio Conversion

Audio conversions use FFmpeg, the industry standard for audio and video processing, ensuring high-quality output with optimized encoding settings.

Supported Audio Conversions:

From Format To MP3 To WAV FFmpeg Parameters
WAV libmp3lame codec, quality level 2
M4A libmp3lame codec, quality level 2
FLAC libmp3lame codec, quality level 2
AAC libmp3lame codec, quality level 2
OGG libmp3lame codec, quality level 2
MP4 (video) Audio stream extraction with -q:a 0 -map a
For MP3 output, we use the LAME encoder with VBR quality level 2 (equivalent to ~190 kbps). For MP4 video to audio extraction, we use the highest quality setting (-q:a 0) and map only the audio stream.

Audio Extraction from Video:

MP4 to MP3 Process:
  1. FFmpeg locates the audio stream in your MP4 file
  2. Extracts audio using the -map a parameter (audio streams only)
  3. Encodes to MP3 using highest quality setting
  4. Preserves original audio quality as much as possible
The quality of your output MP3 depends on the original audio quality in your source file. Higher bitrate source files will produce better MP3 results.

Video Conversion

Video processing also uses FFmpeg with optimized settings for each output format, balancing quality and file size.

Supported Video Conversions:

Input Formats Output MP4 Output GIF Technical Details
Any video format H.264 encoding for MP4, optimized GIF conversion

Video to MP4 Conversion:

Uses H.264 video codec (libx264) with CRF 23 quality level, medium encoding preset, and AAC audio codec at 128k bitrate for optimal compatibility and quality.

Video to GIF Conversion:

Our GIF Creation Process:
  1. Reduces frame rate to 10 FPS for reasonable file size
  2. Scales video to 320px width (height auto-calculated)
  3. Uses Lanczos scaling algorithm for quality preservation
  4. Optimizes colors for GIF format compatibility
Video to GIF conversion significantly reduces quality and increases file size compared to modern video formats. Use for short clips under 10 seconds for best results.

Technical Specifications

Our Conversion Stack:

Documents
LibreOffice 7.x
pdf2docx library
python-docx
Images
Python PIL/Pillow
Full format support
Quality preservation
Audio/Video
FFmpeg latest
Hardware acceleration
Professional codecs
Infrastructure
Linux servers
SSD storage
Automatic cleanup

File Size and Processing Limits:

  • Maximum file size: 100MB per upload
  • Processing timeout: 5 minutes maximum per conversion
  • Concurrent users: No limits on simultaneous conversions
  • File retention: 2 hours automatic deletion
  • Supported browsers: All modern browsers with JavaScript enabled

Troubleshooting

Common Issues and Solutions:

Upload Failures:
  • File too large: Reduce file size to under 100MB
  • Unsupported format: Check our supported formats list above
  • Network timeout: Try with a faster internet connection
  • Corrupted file: Verify your source file opens properly
Conversion Errors:
  • PDF password protected: Remove password protection first
  • Video codec issues: Try re-encoding source video first
  • Image format rare: Convert to common format (PNG/JPG) first
  • Document complex formatting: Some formatting may not transfer perfectly
Quality Issues:
  • Blurry images: Use higher resolution source files
  • Audio quality poor: Source file may be low quality
  • PDF text garbled: Source may be scanned image, not text
  • Video pixelated: Source resolution may be too low