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Dynamsoft Label Recognizer vs OCRmyPDF

Dynamsoft Label Recognizer

dynamsoft.com

OCRmyPDF

ocrmypdf.readthedocs.io

Side by side

FigureDynamsoft Label RecognizerOCRmyPDF
Price from—Free
Free plan—Yes
Free trialYes—
Open source——
WebYes—
WindowsYesYes
macOSYesYes
LinuxYesYes
iOSYes—
AndroidYes—
API—Yes
Self-hostedYesYes
Plans published11
Spec score · OCR API Software8.7 (#4)8.2 (#12)
Image processingBuilt-in algorithms can improve contrast, remove noise, and correct distorted images.It offers image processing options such as deskew to improve visual quality and OCR accuracy.
PurposeLabel Recognizer uses zonal OCR to capture key data from labels, tags, and IDs.OCRmyPDF adds a searchable text layer to scanned PDF files while preserving the original PDF as much as possible.
SecurityThe maker says its SDKs can operate on-premise and do not transmit, store, or process personal identifiable information or sensitive data during app usage.The project advises using OCRmyPDF only with PDFs users trust and says its Docker web service example has no security measures and is not intended for public internet deployment.

Plans

Dynamsoft Label Recognizer

  • Dynamsoft Capture Vision — Label Recognizer modulePriced on request

Dynamsoft Label Recognizer pricing →

OCRmyPDF

  • OCRmyPDFFree

OCRmyPDF pricing →

In their own words

Dynamsoft Label Recognizer

Dynamsoft Label Recognizer is an OCR SDK for extracting alphanumeric characters and standard symbols from images, including codes and other text that does not follow natural-language patterns. Developers can set recognition zones relative to a reference, such as a barcode, and use regular expressions or character models to constrain or check output. A product-label workflow can detect and crop a label, scan barcodes, read text fields, and return structured data in one pass. Supported image formats include BMP, TIFF, JPEG, PNG, and PDF; video recognition can combine partial text results across adjacent frames. Built-in processing can improve contrast, reduce noise, and correct distortion. It can be licensed independently or combined with other Capture Vision modules. Supported environments include Windows, Linux, macOS, Android, iOS, and browser-based JavaScript through WebAssembly, with bindings for JavaScript, Python, C++, C#, .NET, Java, Swift, and Kotlin. The maker describes on-device, on-premise, offline, and air-gapped deployment. A free 30-day SDK trial is offered; pricing starts at $1,249/yr, and there is no free plan.

Visit dynamsoft.com

OCRmyPDF

OCRmyPDF is free software that adds searchable text to scanned PDF files while retaining the original PDF as much as possible. It uses Tesseract to recognize text in page images and produces PDF/A-2b by default, with regular PDF output available as an alternative. Image-processing options such as deskew can adjust pages to support visual quality and OCR accuracy. When a PDF already contains text, its processing modes can stop with an error, skip affected pages, redo OCR, or force OCR across all pages. OCRmyPDF can also be used as a Python library, and plugins can customize processing steps. Installation methods are documented for Linux, macOS, Windows, FreeBSD, and Docker; Paperless-ngx and Nextcloud OCR are named as third-party integrations. Results may be poor for low-quality scans or languages not specified for processing, and handwriting is not recognized. The project also notes that accuracy may trail commercial solutions. Its documentation advises processing only PDFs users trust and warns that its example Docker web service has no security measures and is not meant for public internet deployment.

Visit ocrmypdf.readthedocs.io