Features:

• Compression: Pac-n-Zoom Pre.Vu offers black and white compression that is projected to be 10 to 100 times more than TIFF group 4. The advantage is greater for larger documents.

 
• Image Restoration: The image is partially restored.

 
• Free Viewer: The program comes with a viewer that may be freely distributed.

 
• Interface: A flexible interface allows the program to easily slip into custom solution.

 
• Searches: The text inside the scanned image can be searched with a standard Internet search engine. The program comes with an OCR engine, or an external OCR engine may be used.

Features:

• Pac-n-Zoom Color: Pac-n-Zoom Color is a major upgrade of Pac-n-Zoom Pre.Vu. All of Pac-n-Zoom Pre.Vu's features are still included.

 
• Color: Color will be compressed at photographic quality. Colored text will compress at approximately the same ratios as black and white text. Photographs are projected to compress twice as much as JPEG but with better quality.

 
• Image Restoration: Image restoration is enhanced.

Features:

• Pac-n-Zoom Color: Pac-n-Zoom Math is a major upgrade of Pac-n-Zoom Color. All of Pac-n-Zoom Color's features are still included.

 
• Sizing: The size of the picture can be changed without adding artifacts.

 
• Compression: Vector based compression will increase the amount of compression by about 5 times over Pac-n-Zoom Color.

 
• Image Restoration: Pac-n-Zoom Math sets the highest standard of image restoration.

 
• OCR: With the first update, Pac-n-Zoom Math will gain the ability to recognize text (Optical Character Recognition or Text Recognition) with human-like accuracy.

 
• Audio: Audio files will be added in the second update of Pac-n-Zoom Math. They will offer better fidelity and about 10 times (estimated) more compression than current audio formats.

 
• Speech: The second update will give Pac-n-Zoom Math speech recognition with better than human accuracy.

 
• Customization: The viewer will be open sourced to allow custom vector solutions. Speech and text recognition demonstrate how the viewer can solve a wide range of problems. Over several months, we expect many others to solve their problems with the viewer toolset.