Dynamsoft Label Recognizer vs EasyOCR
Dynamsoft Label Recognizer
dynamsoft.comEasyOCR
github.comSide by side
| Figure | Dynamsoft Label Recognizer | EasyOCR |
|---|---|---|
| Price from | — | Free |
| Free plan | — | Yes |
| Free trial | Yes | — |
| Open source | — | — |
| Web | Yes | — |
| Windows | Yes | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| iOS | Yes | — |
| Android | Yes | — |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 1 |
| Spec score · OCR API Software | 8.7 (#4) | 8.4 (#7) |
| Purpose | Label Recognizer uses zonal OCR to capture key data from labels, tags, and IDs. | EasyOCR is a Python module for extracting text from images, including natural scene text and dense document text. |
| Security | The 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 maker pages reviewed do not state a security certification or compliance claim for EasyOCR. |
| Support | Dynamsoft offers pre-sales technical feasibility help, guidance during trial and evaluation, implementation support, and product updates and maintenance support. | The repository directs enterprise inquiries to Jaided AI for custom OCR/AI implementation, training or fine-tuning, and deployment services. |
Plans
Dynamsoft Label Recognizer
- Dynamsoft Capture Vision — Label Recognizer modulePriced on request
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.
EasyOCR
EasyOCR is a Python module that extracts text from images, including natural scene text and dense document text. The project says it supports more than 80 languages, and compatible languages can be processed together. Its readtext method can return recognized text with bounding-box coordinates and confidence values, or provide text alone. Inputs can be image paths, NumPy arrays, bytes, or URLs. The Reader can use a GPU when available or run in CPU-only mode. Pretrained models download automatically during use, with manual downloads available for offline environments. The API also allows custom recognition networks and settings for detection, recognition, decoding, and text-box merging. Installation options include pip, source, and Docker; Windows users may need to install PyTorch manually first. A web demo is available, and the repository says EasyOCR is integrated into Hugging Face Spaces through Gradio. The public repository identifies the project as Apache-2.0 licensed. There is no paid plan listed. Handwriting recognition is not supported; the README lists it as planned work.