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OpenShot je svobodný a otevřený nelineární program pro střih videa (videoeditor). Je napsán v Pythonu a používá MLT framework. Projekt byl zahájen v srpnu 2008 Jonathanem Thomasem s cílem vytvořit stabilní a snadno použitelný video editor. Je určený pro operační systémy Linux, FreeBSD, macOS a Windows.
The analysis highlights Související články and Overview as prominent areas in the source structure around OpenShot.
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 OpenShot shows recurring relationship patterns in the source. For example, OpenShot → Obrázky, OpenShot Video Editor, Uživatelský, Wikimedia CommonsOficiální Another extracted example is OpenShot → 3.5.1 (8. dubna 2026). 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.
video editor linux windows operační videa okno videoeditoru verze datové položky pythonu freebsd macos svobodný otevřený nelineární program střih videoeditor
TTTA extracted 11 structured relationships around OpenShot. Examples in this analysis include OpenShot → Aktuální verze → 3.5.1 (8. dubna 2026) and OpenShot → Licence → GNU GPL verze 3. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| OpenShot | Aktuální verze | 3.5.1 (8. dubna 2026) | 1.00 | infobox |
| OpenShot | Licence | GNU GPL verze 3 | 1.00 | infobox |
| OpenShot | Operační systém | Linux, Microsoft Windows, Mac OS | 1.00 | infobox |
| OpenShot | Typ softwaru | Video editor | 1.00 | infobox |
| OpenShot | Vyvíjeno v | Python (GTK+) | 1.00 | infobox |
| OpenShot | Vývojář | Jonathan Thomas, Andy Finch, Olivier Girard, Dan Dennedy, Maël Lavault, Cody Parker, Mariano Marini, Daniel Ellis, Zack Middleton, Aditya Vaidya, Antoine Messiah a OpenShot team | 1.00 | infobox |
| OpenShot | Web | openshot.org | 1.00 | infobox |
| OpenShot | related to Externí odkazy | Obrázky | 0.60 | section |
| OpenShot | related to Externí odkazy | OpenShot Video Editor | 0.60 | section |
| OpenShot | related to Externí odkazy | Wikimedia CommonsOficiální | 0.60 | section |
| OpenShot | related to Externí odkazy | Uživatelský | 0.60 | section |
The concept neighborhoods around OpenShot bring nearby vocabulary together. In this analysis, examples include Videa, Datové and Nelineární. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For OpenShot, one of the stronger structural bridges in this analysis connects OpenShot with Overview. 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 OpenShot to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Související články & Overview, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — OpenShot · CS edition · Analysis: TopicsToTalkAbout