Free Open Source Subtitle Editing
Jubler (jubler.org) scores 69 out of 100 on Brand Analyzer, placing it in the Developing tier among Media & Entertainment brands, Technology brands, in the 22nd percentile of 35288 Media & Entertainment brands.
Jubler is a free, open source, cross-platform application for creating, editing, and converting text-based subtitle files. Available on macOS, Windows, and Linux, it offers video preview, quality validation, and support for numerous subtitle formats. The tool targets video editors, translators, hobbyists, and professionals who need accessible subtitle authoring software without licensing costs, positioning itself as a no-cost alternative to commercial subtitle editing tools.
| Brand Name | Jubler |
|---|---|
| Domain | jubler.org |
| Industry | Media & Entertainment, Technology |
| Main Competitors | Subtitle Edit (74/100), Aegisub (86/100), Subtitle Workshop, Gaupol |
Moz Domain Authority 50/100 vs category average 50 / leader 100 - a strong backlink profile, so AI systems frequently encounter mentions of the brand.
Ranked #1,311,212 on the Tranco list of most-visited sites - modest traffic makes the brand easy for AI models to overlook.
No Wikipedia presence was found - a major gap, since Wikipedia is among the most heavily weighted sources in AI training data.
The homepage meta description reads "To provide a free, open source, cross-platform tool for creating, editing, and converting text-based subtitles." (No meta description) - this is the summary AI engines are most likely to quote.
Structured data on the homepage: No structured data or Open Graph tags detected. Adding Organization and FAQ schema would further help AI crawlers parse the brand's identity.
AI-crawler access: robots.txt present, no AI bot restrictions - robots.txt controls whether engines like GPTBot and ClaudeBot can read the site at all.
Social footprint: verified profiles on GitHub, X (Twitter), Facebook, Instagram; no detected presence on LinkedIn, YouTube - consistent profiles reinforce the brand's identity across the web.
0 Reddit mentions - community discussion signals real-world reputation to AI models.
Live results from asking a general-purpose AI assistant about the brand, checked October 2026.
When asked "What is Jubler?", Claude could identify the brand as of October 2026. Jubler is a free, open-source subtitle editor application for macOS (with versions that also ran on Linux/Windows) that lets users create, edit, and synchronize subtitle files in formats like SRT and SSA/ASS alongside video playback. Best known for Being a free open-source subtitle editing tool for Mac.
When asked "Best brands similar to Jubler?", Claude would not surface Jubler as of October 2026. It's a niche, older open-source utility that's largely been superseded by more actively maintained subtitle editors like Subtitle Edit or Aegisub, so I wouldn't lead with it.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
Jubler's main competitors in Media & Entertainment: Subtitle Edit (74/100), Aegisub (86/100).
Sources: Brand Analyzer scan
Jubler offers a single core product: a subtitle editing application that supports creating, editing, and converting text-based subtitle files. Key features include video preview for synchronization, quality validation tools, and compatibility with numerous subtitle formats, all available at no cost across macOS, Windows, and Linux platforms.
Sources: Jubler official site
Jubler is a free, open source, cross-platform software application designed for creating, editing, and converting text-based subtitle files. It runs on macOS, Windows, and Linux operating systems.
Sources: Jubler official site
Jubler has low AI-search visibility, scoring 20/100 on Brand Analyzer's AI visibility composite (visibility 0, trust 26, recommendation 50). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: Jubler official site
Jubler allows users to create, edit, and convert text-based subtitle files. It provides features such as video preview for synchronizing subtitles with footage, quality validation checks, and support for a wide range of subtitle file formats.
Sources: Jubler official site
Jubler scores 50/100 on Brand Analyzer's AI recommendation signal, indicating it is reasonably likely to be surfaced when AI assistants like ChatGPT suggest Media & Entertainment options. Recommendation depends on crawlability, structured data, and category authority.
Sources: Jubler official site
Jubler is known for being a free, open source subtitle editor that works across multiple operating systems (macOS, Windows, Linux) and supports extensive text-based subtitle format conversion alongside video preview functionality.
Sources: Jubler official site
Jubler can improve AI discoverability by strengthening structured data (Organization and FAQ schema), maintaining an accurate Wikipedia/Wikidata entity, earning authoritative citations, and keeping content crawlable for AI bots. Brand Analyzer measures these as visibility, trust, and recommendation signals.
Sources: Jubler official site
Jubler is used by video editors, translators, hobbyists, and professionals who need to create, edit, or convert subtitle files. Its cross-platform and free nature makes it accessible to both casual users and those working professionally with subtitled video content.
Sources: Jubler official site
Jubler scores 20/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
Jubler has a weak AI-visibility profile at 20/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is recommendation likelihood (50/100) and its weakest is visibility (0/100). It benefits from a global traffic rank of #1,311,212 (Tranco), a Moz Domain Authority of 50/100 and open access for AI crawlers (GPTBot, ClaudeBot, etc.). The main gaps holding it back: no clear Wikipedia entity to anchor it in LLM training data, no strong Wikidata entry and thin schema.org structured data. In a live check, Claude could already identify Jubler from memory (October 2026) - a sign these signals are paying off.
The score combines seven dimensions - name quality, digital presence, visual identity, messaging clarity, trust foundation, AI discoverability, and brand authority - into a single objective benchmark.
Ranked closest to Jubler: Jubilee Fireworks (69/100), Joseph Radhik (69/100), Judith Weir (69/100), Justin Bieber (69/100).
A step up - brands to learn from: Ziyouz (71/100), Zishy (71/100).
Category leader: Change.org (97/100).
Brand Analyzer is built by DataEase AI. Track your brand in ChatGPT, Gemini and Perplexity.