CID to JBIG Converter

Produce JBIG-compressed images from CID-keyed font characters

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Optimal Compression

JBIG is the gold standard for bi-level image compression. CID font glyph renders achieve minimal file sizes while preserving every detail.

Cloud Encoding

JBIG compression runs on Convertio servers — no need to install codec libraries. Process CID fonts from any browser on any device.

CID to Compressed

Move your CID-keyed CJK character renders into the most efficient bi-level compression format available for document imaging.

How to convert CID to JBIG

1

Select files from Computer, Google Drive, Dropbox, URL or by dragging it on the page.

2

Choose jbig or any other format you need as a result (more than 200 formats supported)

3

Let the file convert and you can download your jbig file right afterwards

About formats

CID (Character Identifier) is a font architecture developed by Adobe Systems and specified in June 1993 to address the challenges of fonts containing very large glyph sets, particularly for CJK (Chinese, Japanese, Korean) scripts. Traditional PostScript fonts identify glyphs by name, which becomes impractical when a font contains tens of thousands of characters — a typical Japanese font may include over 20,000 glyphs. CID-keyed fonts replace glyph names with numeric identifiers organized by a character collection and ordering (such as Adobe-Japan1 or Adobe-GB1), dramatically reducing overhead for glyph access and subsetting. The architecture defines three PostScript font types: Type 9 (CID-keyed Type 1 outlines), Type 10 (CID-keyed Type 3), and Type 11 (CID-keyed Type 42/TrueType). A primary advantage is efficient handling of massive character sets — the numeric CID approach eliminates the memory and processing cost of maintaining thousands of glyph name strings. CID fonts also support sophisticated CMap resources that map encoding values to CIDs, enabling a single font to serve multiple encoding schemes (Unicode, Shift-JIS, Big5) without duplicating glyph data. The architecture integrates well with PDF subsetting, allowing documents to embed only the glyphs actually used. CID-keyed technology laid the foundation for CJK support in both OpenType and modern PDF workflows, and remains active in print production and document processing systems worldwide.
Developer: Adobe Systems
Initial release: June 11, 1993
JBIG (Joint Bi-level Image experts Group) is a lossless image compression standard (ITU-T T.82) published in 1993, developed by a committee of experts drawn from the same international standards bodies that created JPEG. While the extension .jbig and .jbg refer to the same underlying compression standard, .jbig is the more explicit form commonly used in software that handles the raw JBIG-compressed datastream. The compression algorithm centers on context-dependent arithmetic coding: before encoding each pixel, the encoder examines a configurable template of 10 to 16 nearby pixels (a mix of neighbors from the current and previous lines) to determine a context — one of thousands of possible local pixel configurations. Each context maintains its own adaptive probability estimate that is continually updated as encoding proceeds, allowing the coder to exploit the statistical patterns unique to each image region. This approach handles text, line art, halftoned photographs, and mixed-content pages with a single algorithm, achieving consistently better compression than the fixed Huffman tables of Group 3 or the simpler prediction model of Group 4. A later revision, JBIG2 (T.88), added pattern matching and lossy modes for even higher compression, but the original JBIG remains widely deployed. One advantage is the algorithm's adaptiveness: unlike Group 3/4 codecs that use fixed statistical models, JBIG continuously learns the characteristics of each specific image as it encodes, providing near-optimal compression across widely varying content types. The standard is embedded in many multifunction printers and document scanners for internal image handling. JBIG files are processable by ImageMagick, jbigkit, and enterprise document imaging systems.
Initial release: 1993

Frequently Asked Questions

Why convert CID to JBIG?

JBIG is optimized for lossless compression of black-and-white imagery. CID font character renders compress extremely well in this format.

How do I open JBIG images?

ImageMagick, GIMP, and JBIG codec libraries decode JBIG files. Document management systems also commonly support the format.

What makes JBIG efficient for fonts?

JBIG exploits the repetitive patterns in text and glyph imagery, achieving much better ratios than general-purpose lossless compressors.

Can JBIG handle large CJK character sheets?

Yes — JBIG excels at compressing detailed text imagery. Character sheets with many CJK glyphs compress very efficiently.

Is this conversion free on Convertio?

Yes — no charge, no registration. Upload your CID font, convert to JBIG, and download the result instantly.