OCR Editor

OCR Editor

工作流v3.2.4
ocreditor更新于 2025-01-21

据 AlphaMoat 统计,截至 2026-06,Chrome 插件 OCR Editor 用户数为 40,000,环比 +0%,评分 3.9(114 人评价),在全部 10,567 款 AI 浏览器插件中排名第 243 位,在「工作流」分类(2,272 款)中排名第 82 位。

用户数
4.0 万+0%
评分
★ 3.9114 评价
全站排名
#243
「工作流」排名
#82

OCR Editor 是什么

Online OCR editor to extract the text from images, pdf and word files.

Online OCR editor to extract the text from images, pdf and word files. OCR text extractor, or image to text converter extracts text from images and videos. It uses the latest optical character recognition (OCR) technology to convert images into text. It supports text extraction from all the image and file formats such as: - JPG BMP PNG JPEG GIF PDF Word Where To Use Image to Text Converter? Preserve old documents: With the Text Extractor extension, you can easily save old documents and also take out some of the important texts and save them in a separate place. Convert quotes and other social media images to text: Image to text converter can be used to extract text from different social media images like Facebook and Instagram. Copy Address from any image: Sometimes we search online for specific information, but we only get details in image formats, such as phone numbers or addresses. This OCR text extractor enables you to extract any piece of information from an image. YouTube Subtitle Extractor: If you need to download YouTube subtitles quickly then this video-to-text converter is a great tool for you. It can extract text from all the popular video streaming platforms. Digitise your online class notes: If you are an online learner and frequently attend classes on YouTube, then you can easily extract text and prepare your own digital notes without typing. Version 1.1.0 >> Bugs fixes. In some cases users where unable to select the part of screen.

用户增长趋势

4.0万4.0万4.0万26-0326-0426-0526-062026-03 · 40,0002026-04 · 40,0002026-05 · 40,0002026-06 · 40,0004.0万
月份用户数环比
2026-0340,000
2026-0440,000+0.0%
2026-0540,000+0.0%
2026-0640,000+0.0%

「工作流」分类下的热门插件

数据月份:2026-06 · 用户数与评分来自 Chrome 应用商店公开数据,按月聚合更新。口径说明见数据方法