Video Compression Trends 2026: A 15-Day Report from 6,711 Creators

The headline numbers: Over 15 days (May 4–19, 2026), VidCrush served 120,338 requests from 6,711 distinct IPs and ran 981 successful video compressions. Three findings stand out — Telegram has overtaken Discord as the dominant compression target, 10 MB remains the single most-requested file size despite Discord's larger Nitro limits, and AI-search crawlers (ChatGPT, Claude, Perplexity) now match Googlebot in crawl volume.

This report is built entirely from our own server access logs — no third-party data, no surveys. Methodology is in the footnote at the bottom.

Which platform do creators compress video for most often?

Telegram. By a wide margin. Pageviews on each /pages/{platform}/ landing page over 15 days:

Telegram's lead is striking. Its 740 pageviews are 4.5× Discord's 165 and exceed the next four platforms combined. The likely reason: Telegram raised its free-tier upload limit to 2 GB in 2022, then to 4 GB for Premium — which means users hit the limit on bigger files (full HD or 4K source) where compression actually matters. WhatsApp, locked at 16 MB, has fewer "I need to compress" moments because shorter clips fit naturally.

What is the most-requested compression target size in 2026?

10 MB. The /compress-to/10mb/ page led demand by 73% over the next-most-popular target:

Despite Discord raising its free-tier upload to 25 MB in mid-2023 and 10 MB being technically obsolete, it remains the de facto "small video" target. Creators have internalized 10 MB as the size that's guaranteed to fit anywhere — email attachments, legacy chat rooms, sub-10-MB Twitter quote tweets.

Which input video format causes the most compression problems?

MKV. The format-conversion landing pages tell a counter-intuitive story:

MP4 — the format that doesn't need conversion for most platforms — gets far less search-driven traffic than MKV, M4V, or TS. Creators arrive at conversion pages because their source file is in a "wrong" format, and platforms expect MP4 H.264. MKV's lead reflects how much screen-recording software (OBS Studio especially) defaults to MKV as a crash-safe container.

How much have AI crawlers caught up with Googlebot?

They've effectively caught up. AI-search crawlers visited VidCrush more times in aggregate than Googlebot over the same 15-day window:

Sum of AI / LLM-related crawlers (ChatGPT-User + ClaudeBot + GPTBot + PerplexityBot + OAI-SearchBot + bingbot for ChatGPT Search) — 6,870 hits versus 3,829 for Googlebot. AI assistants now crawl the open web at roughly 1.8× Google's rate, at least for one small video-tooling site.

The practical implication for any site owner: if your robots.txt blocks AI crawlers (a default many sites kept after the 2023 panic), you're now invisible to a growing share of organic discovery. VidCrush received 666 actual visits from chatgpt.com referrer in the same window — the third-largest external traffic source after Google search and direct visits.

What does a typical VidCrush compression look like?

Most uploads are big. Of 981 successful compressions, only 233 (~24%) fit in a single HTTP request — the other 76% were chunked uploads, averaging 10.5 chunks of 10 MB each. That implies an average input file size of roughly 100–110 MB. Creators don't reach for an online compressor for short clips — they reach for it when the source is too large to share.

Daily compressions ranged from 23 to 87, averaging ~65 per day. The peak hour globally was 12:00 UTC (12 597 total requests / hour over 15 days), corresponding to roughly 3 PM Moscow, 8 AM US Eastern, and lunchtime in Western Europe — confirming a European-skewed user base.

Methodology

Numbers are extracted directly from the nginx access log for vid-crush.com between 2026-05-04 17:32 UTC and 2026-05-19 07:39 UTC. Platform demand is measured by pageviews on each /pages/{platform}/ URL with HTTP 200, excluding bot user-agents where identifiable. Compression counts reflect successful POST /api/upload/init responses (HTTP 200). Crawler hits are counted by user-agent string match.

Limitations to note: (1) pageviews on a platform landing page are a proxy for compression intent, not actual compression destinations — the platform chosen at compression time isn't currently logged at the nginx layer. (2) IP uniqueness undercounts real users since Cloudflare aggregates traffic from multiple users at single edge IPs. (3) Bot filtering relies on declared user-agent strings; sophisticated bots that masquerade as humans are not excluded.

Raw aggregate counts are reproducible from any access.log tail using standard awk filters. If you'd like the exact queries or to challenge any of the numbers, get in touch.