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docTR vs Dynamsoft Label Recognizer

docTR

mindee.github.io

Dynamsoft Label Recognizer

dynamsoft.com

Side by side

FiguredocTRDynamsoft Label Recognizer
Price fromFree—
Free planYes—
Free trial—Yes
Open source——
Web—Yes
WindowsYesYes
macOSYesYes
LinuxYesYes
iOS—Yes
Android—Yes
APIYes—
Self-hostedYesYes
Plans published11
Spec score · OCR API Software8.9 (#2)8.7 (#4)
Founded20212003
PurposedocTR is a deep learning OCR library for locating and recognizing text in documents, intended for document automation and research.Label Recognizer uses zonal OCR to capture key data from labels, tags, and IDs.
SupportThe contribution guide directs users with questions to GitHub Discussions and also mentions a #doctr channel on Slack.Dynamsoft offers pre-sales technical feasibility help, guidance during trial and evaluation, implementation support, and product updates and maintenance support.

Plans

docTR

  • docTR open-source Python libraryFree

docTR pricing →

Dynamsoft Label Recognizer

  • Dynamsoft Capture Vision — Label Recognizer modulePriced on request

Dynamsoft Label Recognizer pricing →

In their own words

docTR

docTR is a free deep-learning OCR library for finding and recognizing text in documents, aimed at document automation and research. Its pretrained OCR predictors first detect text and then recognize it, while a layout predictor identifies regions such as tables, figures, and headers. It reads PDFs and images; web-page input requires the optional HTML extra. Results can be rendered as plain text or exported as a JSON-serializable nested dictionary. The project describes its predictors as optimized for CPU and GPU inference. Users can train custom detection, recognition, layout, and table-structure models when pretrained models are not suitable. Documentation covers loading and sharing models through the Hugging Face Hub, and includes a minimal REST API deployment template and a browser demo. Installation is available through pip, Git, or official Docker images. The library requires Python 3.11 or higher, and pretrained weights download on first use and are cached locally. For AWS Lambda, the guide advises disabling multiprocessing and placing the model cache within /tmp. The project uses the Apache License 2.0.

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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.

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