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Sumatra PDF is a free and open-source document viewer that supports many document formats including: Portable Document Format (PDF), Microsoft Compiled HTML Help (CHM), DjVu, EPUB, FictionBook (FB2), MOBI, PRC, Open XML Paper Specification (OpenXPS, OXPS, XPS), and Comic Book Archive file (CB7, CBR, CBT, CBZ). If Ghostscript is installed, it supports…
The analysis highlights Literary Connections, History and Works as prominent areas in the source structure around Sumatra PDF.
Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.
Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
The extracted context around Sumatra PDF shows recurring relationship patterns in the source. For example, Sumatra PDF → August, GNU GPLv2, GNU GPLv3, In, In July, It, June, MuPDF, Poppler, The, Windows, Xpdf Another extracted example is Sumatra PDF → As, Krzysztof Kowalczyk, ME, Microsoft Visual Studio, Simon Bünzli, Sumatra, Support, The, Windows, Windows XP. Use these groups to spot repeated connection types before inspecting the individual relationships.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
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TTTA extracted 47 structured relationships around Sumatra PDF. Examples in this analysis include Sumatra PDF → Available in → Multilingual and Sumatra PDF → Developers → Krzysztof Kowalczyk, Simon Bünzli, and others. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Sumatra PDF | Available in | Multilingual | 1.00 | infobox |
| Sumatra PDF | Developers | Krzysztof Kowalczyk, Simon Bünzli, and others | 1.00 | infobox |
| Sumatra PDF | License | GNU General Public License v3 | 1.00 | infobox |
| Sumatra PDF | Operating system | Windows Vista and newer | 1.00 | infobox |
| Sumatra PDF | Original author | Krzysztof Kowalczyk | 1.00 | infobox |
| Sumatra PDF | Preview release | 3.7.18454 / 21 May 2026; 3 months ago (2026-05-21) | 1.00 | infobox |
| Sumatra PDF | Release | 1 June 2006; 20 years ago (2006-06-01) | 1.00 | infobox |
| Sumatra PDF | Repository | github.com/sumatrapdfreader/sumatrapdf | 1.00 | infobox |
| Sumatra PDF | Size | 9.69 MB (32-bit) | 1.00 | infobox |
| Sumatra PDF | Size | 10.5 MB (64-bit) | 1.00 | infobox |
| Sumatra PDF | Size | 9.87 MB (ARM64) | 1.00 | infobox |
| Sumatra PDF | Stable release | 3.6.1 / 6 April 2026; 4 months ago (2026-04-06) | 1.00 | infobox |
| Sumatra PDF | Type | Document viewer | 1.00 | infobox |
| Sumatra PDF | Website | sumatrapdfreader.org | 1.00 | infobox |
| Sumatra PDF | Written in | C, C++ | 1.00 | infobox |
| Sumatra PDF | is a | free and open-source document viewer that supports many document formats including | 0.90 | text |
The concept neighborhoods around Sumatra PDF bring nearby vocabulary together. In this analysis, examples include Sumatra, Document and Free. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Sumatra PDF, one of the stronger structural bridges in this analysis connects Sumatra PDF with Features. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around Sumatra PDF to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Literary Connections, History & Works, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Sumatra PDF · EN edition · Analysis: TopicsToTalkAbout