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SubMagic is a nice and perfect tool to create the new subtitle files and edit the existing one.

StreaMetrics
Paste your VOD. Get a sentiment timeline, six-axis coaching scorecard, and a 5-point next-stream action plan. First analysis free.

Which is more popular?
Website, pricing, platforms and company facts side by side.
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| Website | submagic.en.softonic.com | streamhalla.com |
| Pricing | — | |
| Platforms | — | |
| Company | — | Startup from the United States · 1 - 9 employees · 2026 |
| Listed in |
In their own words, as submitted to SaaSHub.


No description of SubMagic yet.
StreamHalla is an AI coaching tool for Twitch, YouTube, and Kick streamers. Paste a VOD link and get an honest performance report: an overall grade, a six-axis scorecard (audience engagement, chat positivity, peak moments, content consistency, viewer retention, community vibe), a sentiment...
What each product offers, as listed by its team.


Possible disadvantages
An editorial look at what each product does well and who it suits.


No analysis of SubMagic yet.
Overall verdict
Why this product is good
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Walkthroughs and reviews on video.
Submagic AI Review 2024: The Good, Bad, and UGLY
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How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing SubMagic and StreamHalla.
StreamHalla's answer:
Most analytics tools show you what happened in one stream. StreamHalla's Streamer Trends compares your reports against each other over time to find the one thing that's actually moving your growth, a pattern specific to your channel, not generic advice. It's also built to be honest rather than flattering. It tells you what actually happened in your own data, then helps you build on what's working.
StreamHalla's answer:
StreamHalla doesn't really have a head-to-head competitor so much as a gap nobody's filled. Most stream analytics platforms, including the well-known ones, mostly just surface the raw platform API data and leave the streamer to interpret it. StreamHalla takes that same underlying data and structures it into something actually actionable: a graded scorecard, a sentiment timeline, specific next steps. Kick coverage is exclusive to StreamHalla. No other solution covers Kick streamers at all, not even a partial one.
StreamHalla's answer:
StreamHalla doesn't really have a head-to-head competitor so much as a gap nobody's filled. Most stream analytics platforms, including the well-known ones, mostly just surface the raw platform API data and leave the streamer to interpret it. StreamHalla takes that same underlying data and structures it into something actually actionable: a graded scorecard, a sentiment timeline, specific next steps. Kick coverage is exclusive to StreamHalla. No other solution covers Kick streamers at all, not even a partial one.
StreamHalla's answer:
StreamHalla started with a moment of curiosity, not a business plan. One of our senior developers had just finished building an AI-powered coaching tool for a sales team at another startup, software that analyzed conversations and surfaced what was actually working. Off the clock, watching one of his favorite streams, a controversial topic came up in chat, and he caught himself asking the same question he'd just spent months answering for sales calls: how did that moment actually move the room? Pointing that same kind of analysis at streaming instead of sales calls is how StreamHalla started.
StreamHalla's answer:
React and Vite on the frontend (with vite-react-ssg for static rendering), Node.js and Express on the backend, PostgreSQL for the database, Anthropic's Claude API for the AI analysis, Stripe for billing, and an automated data pipeline for gathering VOD and chat data.
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