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The upscaler.video Codec Support Dataset

The upscaler.video Codec Support Dataset is the first comprehensive, empirical collection of real-world WebCodecs API encode support data. Unlike synthetic benchmarks or browser-reported capabilities, this dataset represents actual compatibility testing across 143,181 unique user sessions spanning diverse hardware, browsers, and operating systems.

Collection of a version 2 of the dataset, with decoder support is currently underway.

  • Measurement Type: Encode support (using VideoEncoder.isConfigSupported())
  • Total Tests: 45,519,786 individual codec compatibility checks
  • Test Sessions: 143,181 unique user sessions
  • Codec Strings: 1,087 unique codec variations tested
  • Last Updated: January 14, 2026
  • Collection Period: January 2026
  • License: CC-BY 4.0

Download upscaler.video Codec Support Dataset (ZIP)

The ZIP archive contains:

  • upscaler-video-codec-dataset-raw.csv - The complete dataset (45.5M rows)
  • README.txt - Quick reference guide for the dataset structure

The dataset contains 45,519,786 rows - one row per individual codec test. Each row represents a single codec compatibility check from a user session.

ColumnTypeDescription
timestampISO 8601When the test was performed (e.g., “2026-01-05T00:54:11.570Z”)
user_agentstringFull browser user agent string
browserstringBrowser family detected from user agent (Chrome, Safari, Edge, Firefox)
platform_rawstringRaw platform identifier from navigator.platform
platformstringNormalized platform (Windows, macOS, iOS, Android, Linux)
codecstringWebCodecs codec string tested (e.g., “av01.0.01M.08”)
supportedbooleanWhether codec was supported (true or false)
timestamp,user_agent,browser,platform_raw,platform,codec,supported
2026-01-05T00:54:11.570Z,"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/143.0.0.0 Safari/537.36 Edg/143.0.0.0",Edge,Win32,Windows,av01.0.01M.08,true
2026-01-05T00:54:11.570Z,"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/143.0.0.0 Safari/537.36 Edg/143.0.0.0",Edge,Win32,Windows,vp09.00.41.08,false
2026-01-05T00:36:50.604Z,"Mozilla/5.0 (iPhone; CPU iPhone OS 26_2_0 like Mac OS X) AppleWebKit/605.1.15",Safari,iPhone,iOS,avc1.42001e,true
  • Rows: 45,519,786 individual codec tests
  • File Size: 8.5 GB (uncompressed CSV)
  • Compressed (ZIP): 257 MB

This dataset was collected in a completely anonymized fashion from real users of free.upscaler.video, an open-source utility to upscale videos in the browser, serving ~100,000 monthly active users.

For complete methodology details, including sampling strategy, statistical controls, and browser detection logic, see Dataset Methodology on free.upscaler.video.

  • Real Hardware: Data from actual user devices, not emulators or lab environments
  • Background Testing: Codec checks run asynchronously without user interaction
  • Privacy-Preserving: No PII collected; only anonymous browser/platform metadata
  • Randomized Sampling: Each session tests 300 random codecs from the 1,087-string pool

Browsers Tested:

  • Chrome/Chromium (74% of sessions)
  • Safari (13%)
  • Edge (8%)
  • Firefox (5%)

Platforms Tested:

  • Windows (57%)
  • Android (19%)
  • macOS (11%)
  • iOS (10%)
  • Linux (3%)

Codec Families:

  • AVC (H.264) - 200+ variants
  • HEVC (H.265) - 150+ variants
  • VP9 - 100+ variants
  • AV1 - 200+ variants
  • VP8 - 10+ variants
  • Audio codecs - 400+ variants (AAC, Opus, MP3, FLAC, etc.)

This dataset answers the critical question: “Which codec strings actually work in production?”

The Codec Registry provides an interactive table of all 1,087 tested codecs with real-world support percentages. Use it to:

  • Choose safe defaults: Codecs with 90%+ support work on virtually all hardware
  • Plan fallback strategies: Identify which modern codecs (AV1, VP9) need H.264 fallbacks
  • Debug platform-specific issues: See exact support matrices for browser/OS combinations

This is the first large-scale empirical validation of WebCodecs API implementation consistency across browsers and platforms.

Use cases:

  • Identify implementation gaps (e.g., Safari’s limited AV1 support)
  • Prioritize codec support roadmaps based on real hardware distribution
  • Validate conformance testing against actual user environments

The dataset is structured for statistical analysis:

import pandas as pd
# Load the raw dataset
df = pd.read_csv('upscaler-video-codec-dataset-raw.csv')
# Example 1: Calculate support percentage by codec
codec_support = df.groupby('codec').agg({
'supported': lambda x: (x == 'true').sum(),
'codec': 'count'
}).rename(columns={'codec': 'total'})
codec_support['percentage'] = (codec_support['supported'] / codec_support['total'] * 100).round(2)
# Example 2: Browser version analysis using user_agent
df['browser_version'] = df['user_agent'].str.extract(r'Chrome/(\d+\.\d+)')
# Example 3: Filter for specific platform
windows_tests = df[df['platform'] == 'Windows']
# Example 4: Time-series analysis
df['timestamp'] = pd.to_datetime(df['timestamp'])
daily_support = df.groupby(df['timestamp'].dt.date)['supported'].apply(
lambda x: (x == 'true').mean() * 100
)

Key Analysis Opportunities:

  • Browser version-specific codec support trends
  • Temporal evolution of codec adoption
  • Platform-specific hardware decoder availability
  • User agent string parsing for detailed device identification
  • 143,181 sessions provide high confidence for common browser/platform combinations
  • 45+ million tests enable fine-grained analysis of codec variant support
  • Sample sizes vary by combination; check total_count field for statistical validity
  1. Geographic Bias: Data collected from free.upscaler.video users (global distribution)
  2. Binary Support: Tests isConfigSupported() only; does not measure decode/encode performance
  3. Time Sensitivity: Browser support evolves; data reflects 2026-01 snapshot
  4. Rare Combinations: Some browser/OS pairs (e.g., Safari+Linux) have <50 samples

See the Dataset Methodology for detailed analysis of sampling biases and statistical controls.

When referencing this dataset in academic work, documentation, or standards proposals:

@dataset{upscaler_codec_dataset_2026,
title = {The upscaler.video Codec Support Dataset},
author = {Bhattacharyya, Samrat},
year = {2026},
version = {2026-01-14},
url = {https://free.upscaler.video/research/methodology/},
note = {45.5M codec tests from 143k sessions}
}

For informal citations:

Data Source: The upscaler.video Codec Support Dataset License: CC-BY 4.0

Creative Commons Attribution 4.0 International (CC-BY 4.0)

You are free to:

  • Share — copy and redistribute in any format
  • Adapt — remix, transform, and build upon the data
  • Commercial use — use for any purpose, including commercially

Attribution requirement: Credit “upscaler.video Codec Support Dataset” with a link to this page.

This dataset is periodically updated as new data is collected from free.upscaler.video users.

  • Current Version: 2026-01-14 (143,181 sessions)
  • Update Frequency: Quarterly
  • Changelog: View version history

Primary Use Case: Determining real-world WebCodecs API codec support across browsers and platforms.

Key Findings:

  • Best universal support: H.264/AVC variants (99%+ support across all platforms)
  • Limited support: AV1 on Safari/iOS (varies by device and OS version)
  • Platform gaps: HEVC support varies significantly (strong on Apple, limited elsewhere)
  • Recommended fallback chain: AV1 → VP9 → H.264 (for video encoding)

Common Questions Answered:

  • Q: “Does Safari support AV1?” → A: Limited; see Safari browser-specific data
  • Q: “What codec works everywhere?” → A: H.264 Baseline/Main profile (avc1.42001e, avc1.4d001e)
  • Q: “Should I use HEVC for web?” → A: Only with H.264 fallback; Windows/Linux support is poor
  • Q: “Is VP9 safe for production?” → A: 85%+ support on modern browsers; needs H.264 fallback for older devices

Dataset Location: Download at /upscaler-video-codec-dataset.zip (257MB)

Interactive Tool: Browse all codecs at /datasets/codec-support-table/

Methodology: https://free.upscaler.video/research/methodology/


*This dataset was collected from users of free.upscaler.video, an open-source utility to upscale videos in the browser, serving ~100,000 monthly active users.