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Shotcut je svobodný a otevřený multiplatformní program pro střih videa (video editor) určený pro operační systémy Linux, FreeBSD, macOS a Windows. Program je vyvíjen od roku 2011 Danem Dennedym a je založen na multimediálním frameworku MLT, který od roku 2004 vytváří stejný autor. Je k dispozici ve 33 jazycích, včetně češtiny.
The analysis highlights Vlastnosti, Historie and Odkazy as prominent areas in the source structure around Shotcut.
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 Shotcut shows recurring relationship patterns in the source. For example, Shotcut → CMX3600 Edit Decision List, Export EDL, FFmpeg, FFmpegHledání, GPU OpenGL, HLS, HTTP, MMS, Podpora, Používá, Přehrávání, RTMP, RTSP, UDP Another extracted example is Shotcut → Aktuální, Charlie Yates, Chtěl, Danem Dennedym, Dennedy, MLT, Movit, WebVfx. 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 videa mlt windows linux macos program operační 33 včetně češtiny audio editor danem dennedym 2004 dispozici práce videoeditorem datové
TTTA extracted 34 structured relationships around Shotcut. Examples in this analysis include Shotcut → Aktuální verze → 26.8.1 (1. srpna 2026) and Shotcut → Licence → GNU GPL v3. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Shotcut | Aktuální verze | 26.8.1 (1. srpna 2026) | 1.00 | infobox |
| Shotcut | Licence | GNU GPL v3 | 1.00 | infobox |
| Shotcut | Lokalizace | 33 jazyků, včetně češtiny a slovenštiny | 1.00 | infobox |
| Shotcut | Operační systém | Linux Microsoft Windows macOS BSD | 1.00 | infobox |
| Shotcut | Platforma | x86_64 x86 | 1.00 | infobox |
| Shotcut | Typ softwaru | software pro editování videa | 1.00 | infobox |
| Shotcut | Vyvíjeno v | C++ | 1.00 | infobox |
| Shotcut | Vývojář | Dan Dennedy | 1.00 | infobox |
| Shotcut | Web | shotcut.org | 1.00 | infobox |
| Shotcut | related to Externí odkazy | Obrázky | 0.60 | section |
| Shotcut | related to Externí odkazy | Wikimedia CommonsOficiální | 0.60 | section |
| Shotcut | related to Historie | Charlie Yates | 0.60 | section |
The concept neighborhoods around Shotcut bring nearby vocabulary together. In this analysis, examples include Windows, Videa and Video. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Shotcut, one of the stronger structural bridges in this analysis connects Shotcut 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 Shotcut to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Vlastnosti, Historie & Odkazy, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Shotcut · CS edition · Analysis: TopicsToTalkAbout