Scandit vs. Scanbot
Comparison guide for evaluating barcode scanning SDKs, based on performance testing results from controlled tests of real barcode scanning workflow tasks.
Development teams who’ve already chosen Scandit
Scandit vs. Scanbot under real-world conditions
We tested Scandit and Scanbot on realistic scanning tasks with the mid-range devices your teams actually use. All tests were run in July 2026.
Scandit scanned barcodes from a median of 2.1X further away
Why this matters: Users don’t waste time moving closer to the barcodes they need to scan, and there is less need for ladders or crouching down.
- Scandit could scan from further away than Scanbot for every barcode type tested, with a median of 2.1X further away across the 7 measured barcode types.
- Results ranged from an average of 1.7X further away for Codabar to 2.5X further away for EAN-13 and Data Matrix.
- Test devices were mounted to a sliding test harness that moved incrementally closer to the barcode until it could be scanned, over 5 test runs. Environmental light was constant, and barcodes were calibrated to specific mil-sizes.
Scandit scanned ESLs from up to 3.2X further away
Why this matters: Electronic shelf labels (ESLs) are particularly challenging to scan due to the small size of barcodes, additional glare, and acute angles. A longer scan range improves usability as retail associates do not have to repeatedly bend down, reach up awkwardly, or spend time repositioning themselves.
- We tested the distance from which a human using Scandit and Scanbot could scan ESLs on top, middle, and bottom retail shelves.
- For ESLs with regular barcodes, Scandit scanned from 1.9X further away for middle shelves, 2X further away for top shelves, and 3.2X further away for bottom shelves.
Scandit captured the correct grocery shelf label 7 out of 7 times
Why this matters: In the real world, the barcode users want to scan is typically surrounded by other barcodes. Unintended scans interrupt workflows and lead to costly and time-consuming error correction further down the line if they go unnoticed.
- The user attempted to scan 7 ESL labels showing EAN-13/UPC-A barcodes, positioned on a standard shelf rail. To simulate a real-world retail environment, products were also placed on the shelf above with their barcodes visible.
- Scandit scanned the correct label every time and the workflow was completed in an average of 6.6 seconds. Scanbot captured an average of 9 unintended scans (i.e. belonging to another product) per test run. As a result of this, the workflow was completed in an average of 51.6 seconds.
- Labels scanned sequentially over 5 test runs.
Scandit beat Scanbot in 70% of tough code conditions
Why this matters: Barcodes are scanned under imperfect conditions in the real world, e.g., damage, glare, occlusion. Scanning difficulties reduce efficiency, and false positives result in bad data entering your systems.
- We measured the true positive rate for difficult-to-scan codes using a test sheet covering 13 common scenarios for EAN-13 and Code 128 barcodes.
- Scandit beat Scanbot in 70% (16 out of 23) tough code conditions.
Scandit was 1.2X faster in fashion receiving tests
Why this matters: Faster receiving frees up labor time for other tasks.
- It took a human an average of 25.8 seconds to scan 10 plastic-wrapped shirts using Scandit, compared to 30.8 seconds using Scanbot.
- This means that in 1 minute, Scandit would scan an average of 23 items and Scanbot would scan an average of 19 items.
- Products were scanned sequentially over 5 test runs.
The scanning layer for every app
More than 170m active mobile devices. 9 of the top 15 global brands trust Scandit, alongside SMBs around the globe.
Security and privacy first
All image processing performed on-device by default. Customers retain complete control over data collection and processing. ISO27001 certified.
Pricing built for 5 devices or 5 million
Pricing that works for businesses of all sizes. Fixed and usage-based options, with editions (plans) for different barcode scanning needs.
Support you can count on
A partnership approach that goes far beyond a support ticket. We’ll guide you through evaluation, integration, and rollout to everyday operations.
Not just logos, results
More barcode scanning resources
How to Measure Barcode Scanning Performance
Learn how to test barcode scanning performance with proven metrics, real-world test cases, and best practices.
How to Choose the Best Barcode Scanner SDK
Technical comparisons to perform when choosing the best barcode scanner SDK. Performance, developer support, security, licensing, and more.
Best Barcode Scanner Hardware: Compare Options
Compare the best barcode scanners for every budget. Discover the right device for speed, accuracy, and your scanning environment.
Frequently asked questions
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