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Microsoft Computer Vision API VS Gallera OCR

Compare Microsoft Computer Vision API VS Gallera OCR and see what are their differences

Microsoft Computer Vision API

Extract rich information from images and analyze content with Computer Vision, an Azure Cognitive Service.

Rating
0 reviews
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Gallera OCR

Copy text and tables from images, screenshots and PDFs. Runs on your device, no upload.

Rating
0 reviews
Pricing
Free
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Changelog software that turns GitHub commits into release notes your users actually see — inside your app. Built for founders and teams who ship fast. sponsored

Which is more popular?

Based on our record, Microsoft Computer Vision API seems to be more popular. It has been mentioned 11 times since March 2021.

social mentions
11 vs 0
Image Analysis popularity
100% vs 0%
alternatives listed
42 vs 13

Base details

Website, pricing, platforms and company facts side by side.

Microsoft Computer Vision API
Gallera OCR
Website azure.microsoft.com ocr.gallerastudio.com
Pricing —
Free
Platforms —
Google Chrome Web
Company — 1 - 9 employees · 2026
Listed in
Image Analysis OCR Machine Learning Data Science And Machine Learning +1
OCR Productivity Browser Extensions Data Extraction +1

About Microsoft Computer Vision API and Gallera OCR

In their own words, as submitted to SaaSHub.

Microsoft Computer Vision API
Gallera OCR

No description of Microsoft Computer Vision API yet.

Image to Text OCR reads the text out of an image, a screenshot or a PDF and puts it in your clipboard. Tables are copied as cells: paste into Excel or Google Sheets and every value lands in its own cell. Three ways to use it: right-click an image on any web page, paste a screenshot, or drop a...

Read more about Gallera OCR

Features and specs

What each product offers, as listed by its team.

Microsoft Computer Vision API 5 features
Gallera OCR 9 features
  • Comprehensive Image Analysis
    The Microsoft Computer Vision API provides extensive capabilities for image analysis, including object detection, face detection, and image tagging, making it versatile for various applications.
  • Multi-language Support
    The API supports multiple languages, allowing developers from different regions to integrate it into their applications efficiently.
  • Scalability
    Being part of the Azure cloud services, the API can scale to handle large volumes of image processing requests, which is beneficial for businesses of all sizes.
  • Ease of Integration
    The API can be easily integrated into different platforms and supports various SDKs, making it developer-friendly and reducing the time to market for applications.
  • Regular Updates and Support
    As a Microsoft product, the API receives regular updates and improvements, along with access to robust technical support and documentation.

Possible disadvantages

  • Cost
    Some users may find the pricing of the Microsoft Computer Vision API to be relatively high, especially for small businesses or individual developers who need extensive image processing services.
  • Privacy Concerns
    Leveraging cloud-based image processing may raise privacy concerns for some users, particularly in industries that handle sensitive data.
  • Limited Offline Capabilities
    The API largely depends on cloud services, which means offline capabilities are limited, posing challenges in environments with restricted internet access.
  • Dependency on Internet Connectivity
    Since the API operates over the internet, consistent and reliable internet connectivity is required, which may be a barrier in areas with poor network infrastructure.
  • Complexity in Customization
    While the API provides a wide range of features, customizing it for specific use cases beyond the predefined functionalities might require additional technical expertise and resources.
  • Copy text from images
    Right-click any image in Chrome, choose Copy text
  • Tables as spreadsheet cells
    Paste into Excel or Google Sheets, one value per cell
  • Screenshot to text
    Paste a screenshot with Ctrl+V
  • PDF text and tables
    Reads PDFs that have a text layer
  • On-device OCR
    Nothing is uploaded, no server
  • No account
    No sign-up and no analytics
  • Free online tool
    The same engine on the website, nothing to install
  • Bank statement to Excel
    PDF statement to a checked table or CSV, on the website
  • Languages
    English and German

Videos

Walkthroughs and reviews on video.

Microsoft Computer Vision API 1 video + Add
Gallera OCR 0 videos + Add

Cozmo with Microsoft computer vision API

No Gallera OCR videos yet. You could help us improve this page by suggesting one.

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
Microsoft Computer Vision API
Gallera OCR
100% 100%
Image Analysis
0% 0%
88% 88%
OCR
12% 12%
0% 0%
Browser Extensions
100% 100%
100% 100%
Machine Learning
0% 0%

Questions & Answers

As answered by people managing Microsoft Computer Vision API and Gallera OCR.

Who are some of the biggest customers of your product?

Gallera OCR's answer:

  • Not tracked: there are no accounts and no analytics, so we do not know who uses it

What makes your product unique?

Gallera OCR's answer:

It copies tables as tables. Right-click a picture of a table, choose Copy as table, and paste into Excel or Google Sheets: every value lands in its own cell. Recognition runs on your device, so the image is never uploaded. When the text cannot be read, it says "No readable text found" instead of copying garbage. The same engine also works as a free online tool on the website, with nothing to install.

Why should a person choose your product over its competitors?

Gallera OCR's answer:

Choose it if you care about tables and privacy. Most OCR tools give you one block of text; this one keeps rows and columns. Most online converters upload your file to a server; this one reads it in your browser, with no account and no analytics. It works by right-clicking any image, so there is no area to select.

Where it is weaker: it reads English and German only, and handwriting and photos taken at an angle are hit and miss. We keep an honest comparison with other OCR extensions, including where they do better: https://ocr.gallerastudio.com/best-ocr-chrome-extensions

How would you describe the primary audience of your product?

Gallera OCR's answer:

People who regularly need text or numbers out of images and PDFs and would rather not upload them anywhere: analysts and office workers copying tables from screenshots and reports, bookkeepers and freelancers working with invoices and bank statements, students and researchers quoting from scanned pages. The extension is for Chrome on desktop; the online tool also works on phones.

What's the story behind your product?

Gallera OCR's answer:

Gallera Studio is a one-person software studio with an AI crew: one human decides what gets built and reads every change, AI agents write the code, copy and tests. Image to Text OCR started from a small, repeated annoyance: copying a table out of a screenshot and getting one long line of text.

The first build had the same problem. Tesseract read table borders as letters, collapsed tables into one column and never admitted it could not read something. Line removal, confidence checks and scaling by letter height fixed it before release. To publish it, the studio unpublished its first extension: a new Chrome Web Store publisher gets two slots. The longer story: https://gallerastudio.com/log/tesseract-js-tables-and-honest-ocr

Which are the primary technologies used for building your product?

Gallera OCR's answer:

  • Tesseract.js (WebAssembly) for recognition, with English and German models bundled
  • PDF.js for reading the text layer of PDFs
  • Our own table module: word boxes to rows and columns, grid-line removal, skew correction
  • Chrome extension on Manifest V3, plain JavaScript, no framework, no server
  • The website runs the same engine module in the browser, hosted on Cloudflare

User comments

Share your experience with using Microsoft Computer Vision API and Gallera OCR. For example, how are they different and which one is better?

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Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

Microsoft Computer Vision API 11 mentions
Gallera OCR 0 mentions

View more

Tracking Gallera OCR since Oct 2026.

Alternatives to Microsoft Computer Vision API and Gallera OCR

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