This service uses OCRmyPDF and Tesseract for OCR.
Simpdf’s free OCR PDF is a wonderful online API that cleans up all the noise from scanned PDFs. It can clean up any unwanted content such as dust dots, paper’s dirty texture, etc. that makes scans appear dull. When cleaned using Simpdf, these scans become clear, fresh, and smooth.
Since it’s an API, it needs to be implemented properly in the web apps. Unlike most APIs, Simpdf’s API has a USP that is very easy to implement. The entire guide is on GitHub and the implementation process is straightforward.
Everyone scans PDFs at some point in their life and it’s very easy for the scanner’s glass bed to get dirty. This results in dirty and dull scans, which is why OCR cleanup tools become a must. Due to a high requirement of OCR cleanup tools, Simpdf’s API gives an opportunity to web developers to launch their online cleaning tools.
Web developers who are interested in implementing Simpdf’s API can do it very easily and conveniently. The API is designed in such a way that it eases the developer’s work, helping save time and avoid development frustrations.
The implementation shouldn’t take much time, provided that the developer reads the documentation well beforehand. Once the documentation is clear, it’s a simple and quick process to get the API in a working condition on the website. One of the best USPs is that it’s free to use with unlimited usage. However, the developers must read the terms and conditions regarding usage beforehand.
The text recognition PDF API by Simpdf supports multiple programming languages and frameworks, becoming a robust and flexible API currently. This allows Simpdf to cater to a large pool of website developers across multiple specialties like docker.
PDF to text OCR with Simpdf is done in the following way:
OCR is the optical character recognition technology that can read the content from scanned images. It supports multiple languages such as Chinese, Hindi, English, Korean, etc. OCR can allow text editing from scanned images and even sharpen and smoothen images by subtracting everything from the recognized text, which is considered noise in the image.
PDF to text OCR cleanup is very important because image scans can become dirty. When scanning poor quality paper and/or if the scanner’s glass is dirty, these foreign particles get scanned too. When scanned, they appear like black flakes and dots on the scanned image, which is termed image noise. OCR doesn’t recognize this noise. So it recognizes the text and subtracts all other undetected content from the detected text, which results in sharpened and smoothened clear images.
This technology is known to benefit the entire mankind that scans PDFs and is troubled with unclear images. Most benefited ones are working professionals, diplomats, teachers, educational institutions, government offices, etc., where clear scans hold a high importance.
Ideally, this technology is so great that there are no such downfalls. However, one problem is that the API needs to be implemented, which is possible only for a web developer or someone with expert IT skills. A general end user may not be able to implement this API. Furthermore, implementing this technology should stay tuned to Github for any latest posts and updates.
No, don’t worry about the content being affected because Simpdf is strong and smart enough to keep the content intact. It only works on removing noise from the scans to clean up the PDFs. there’s no way content will get distorted or harmed in any manner.
There are so many future scopes for Simpdf. It is expected to be made available for an even larger pool of web developers once it becomes compatible with more and more programming languages. Furthermore, the ease of implementation is expected to increase and the effectiveness of the entire PDF cleaning process shall be improved in future releases, patches, and updates.