Encord vs OpenCV:Which is more popular?
In September 2026, OpenCV had more branded searches than Encord among computer vision platforms worldwide. OpenCV had about 110,000 branded searches, while Encord had 18,100. OpenCV made up 37.5% of all computer vision platform searches we track, and Encord accounted for 6.2%. When we asked ChatGPT and Google AI Overviews about computer vision platforms, OpenCV appeared in three of the five answers and Encord in none.
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Top computer vision platforms in ChatGPT and Google AI Overviews
In three ChatGPT questions and two Google AI Overviews, OpenCV was mentioned in three out of five: in one of the three ChatGPT answers and in both Google AI Overviews. Encord did not appear in any of the five answers.
Most recommended by AI
Brands get a higher ranking if they are mentioned earlier in the answers.
Mentioned by AI
Each dot is one answer, filled in when that answer mentions the brand.
Roboflow5 of 5Named in 3 of 3 ChatGPT answersNamed in 2 of 2 Google answers
OpenCV3 of 5Named in 1 of 3 ChatGPT answersNamed in 2 of 2 Google answers
Ultralytics3 of 5Named in 3 of 3 ChatGPT answersNamed in 0 of 2 Google answers
Amazon Rekognition3 of 5Named in 2 of 3 ChatGPT answersNamed in 1 of 2 Google answers
Encord0 of 5Named in 0 of 3 ChatGPT answersNamed in 0 of 2 Google answers- Clarifai0 of 5Named in 0 of 3 ChatGPT answersNamed in 0 of 2 Google answers
See every answer about computer vision platforms
5 answers
Asked ChatGPT
“Which computer vision platform should I use?”
Asked ChatGPT
“What are the best computer vision platforms?”
Asked ChatGPT
“What's the best computer vision platform for image recognition models?”
Searched Google, AI Overview
“computer vision platforms”
Searched Google, AI Overview
“computer vision software”
Brands are shown in the order each answer named them. The survey took place in the United States on October 20, 2026.
Is Encord or OpenCV more popular in search?
This chart shows how often people search Google for Encord and OpenCV by name. Each line represents a brand's share of searches for all six computer vision platforms we track, month by month, from English-language searches worldwide.
Share of searches by month for OpenCV, Encord. The figures are in the table below the chart.
View monthly share of searches table
| Month | Roboflow | OpenCV | Ultralytics | Encord | Amazon Rekognition | Clarifai |
|---|---|---|---|---|---|---|
| Oct 2025 | 45.7% | 37.4% | 9.2% | 2.7% | 2.7% | 2.2% |
| Nov 2025 | 46.1% | 37.7% | 9.3% | 2.3% | 2.8% | 1.8% |
| Dec 2025 | 51% | 34% | 8.4% | 2% | 2.5% | 2% |
| Jan 2026 | 49.9% | 33.2% | 10% | 2.4% | 2.4% | 2% |
| Feb 2026 | 50.5% | 33.7% | 8.3% | 3% | 2.5% | 2% |
| Mar 2026 | 45.7% | 37.4% | 9.2% | 3.3% | 2.2% | 2.2% |
| Apr 2026 | 55.6% | 30.5% | 7.5% | 2.7% | 1.8% | 1.8% |
| May 2026 | 50.7% | 33.8% | 8.3% | 3% | 2% | 2% |
| Jun 2026 | 50.7% | 33.8% | 8.3% | 3.7% | 2% | 1.4% |
| Jul 2026 | 46.8% | 38.2% | 7.7% | 4.2% | 1.9% | 1.2% |
| Aug 2026 | 50.4% | 33.8% | 8.3% | 4.5% | 2% | 1.1% |
| Sep 2026 | 46% | 37.5% | 7.6% | 6.2% | 1.8% | 0.99% |
How has the Encord and OpenCV comparison changed over the last 12 months?
3 findings
- OpenCV was ahead of Encord in every measured month of the 12 months ending September 2026.
- Across the 12 months ending September 2026, Encord’s share of searches among computer vision platforms worldwide moved from 2.7% to 6.2%, and its estimated monthly branded searches moved from 9.9K to 18.1K.
- Across the 12 months ending September 2026, OpenCV’s share of searches among computer vision platforms worldwide moved from 37.4% to 37.5%, and its estimated monthly branded searches moved from 135K to 110K.
How did search popularity change for computer vision platforms worldwide in September 2026?
2 changes

In September 2026, OpenCV gained share of searches among computer vision platforms worldwide, from 33.8% to 37.5%.

In September 2026, Encord gained share of searches among computer vision platforms worldwide, from 4.5% to 6.2%.
How are branded searches counted?
2 search terms
Brandwave collects information about searches that people make online using Encord’s and OpenCV’s names. When viewed over time, estimated search volumes for these branded terms can be used to understand whether interest in the brands is growing, holding steady, or fading.
Other head-to-heads among computer vision platforms

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