Scanning & processing valuable documents such as invoices, receipts, and images for important data has traditionally been a manual process full of errors and delays. Now, more organizations are automating documents to go paperless and leveraging cloud-based digital solutions that improve bottom lines. Accurate text recognition is critical for all these business cases. Here comes Filestack’s Best OCR SDK.
If you take your OCR scanning seriously and it’s a crucial tool for your business, give Filestack a look. It provides the best OCR SDK. It is packed with features above and beyond what you might expect while still falling in the affordable bracket for most small businesses. In this post, we’ll walk you through different aspects of OCR SDK and explore why Filestack OCR is the best.
Table of Contents
What Is OCR?
Optical Character Recognition (OCR) is a field of machine learning. It specializes in distinguishing characters within images in scanned documents, printed books, or photos. The system use scanning character-by-character. Subsequent analysis of the image and translation of the character image into character codes are used in the data processing.
How Does OCR Works?
The OCR recognition enables the conversion of characters through three main steps. They are image preprocessing, character recognition, and postprocessing.
The First Step: Image Preprocessing
Image preprocessing involves a series of processes designed to improve image clarity for better and successful recognition. This step aims to suppress distortions and enhance the vital features in a document or image.
The Second Step: Character Recognition
The step uses OCR algorithms that enable the device to detect only the intended portions or shapes of a digitized image. When the input data is too large, only a tiny amount will process. It ensures capturing the crucial parts of a document or image and sorts out the redundant components while guaranteeing better text recognition performance.
Final Step: Postprocessing
This step corrects errors and ensures improved accuracy of the OCR by using a lexicon, numbers, or accepted codes. This step may also include other techniques, such as using standard colors and business rules.
Why Do Companies Use The Best OCR SDK Today?
OCR technology has revolutionized data and storage processes in various fields, including healthcare, human resources, financial services, and medical coverage. It prevents common user errors by digitizing and sharing files. Technology has many advancements; you’ll find it in several areas today. They are as follows:
- It can facilitate automated data processing and data entry in firms that need to digitize printed data such as invoices, bank statements, and receipts
- Can be involved in digitizing historical documents and newspapers to make them searchable.
- Fields like recognition of license plates by speed cameras and red-light camera software
- It can also use speech synthesizers for individuals who are unable to speak.
- Generating automated workflows by digitizing PDF documents in various business units
- Facial recognition of people at borders and other checkpoints
- In payment processes to ease cross-border transactions.
But the magic doesn’t stop there; almost every sector could benefit enormously from OCR.
What Are Some Of The Best OCR SDKs Available In The Market?
Filestack: The Best OCR SDK
Most businesses are searching for ways to incorporate the Best OCR SDK into their systems and applications. One of the best, most effective ways to do this is to use Filestack’s OCR API.
Filestack’s OCR API can help you interpret, extract, and organize data, reduce errors, and increase data collection efficiency. It works on not only images but also tax documents, business cards, IDs, and invoices.
Moreover, you can transfer image features character-by-character into specialized identification codes. You can do that using FIlestack’s Best OCR SDK, eliminating the hassle of manual data processing.
Here, you can learn how Filestack’s Best OCR SDK works: https://blog.filestack.com/api/document-detection-enhancement-and-preprocessing-api/.
Microsoft Computer Vision
The Microsoft Computer Vision API  is a comprehensive set of computer vision tools, spanning capabilities like generating smart image thumbnails, recognizing celebrities in images, and describing the content of images using AI. It has many drawbacks.
A Google project, Tesseract OCR, is one of the most well-known optical character recognition platforms. Tesseract OCR is mainly engaged in Google’s spam detection functionality. Primarily, it is used to identify over 100 languages so that developers can teach the solution to other languages as needed. Secondly, you can use it for video and still images. Finally, it has a large amount of documentation and an active community. It makes it easy for developers to start learning and developing immediately. It is better for paper documents, but not in all cases.
ABBYY OCR  is a complete OCR SDK for “document recognition, data capture, and language processing.” Through ABBYY’s SDK, developers can process large volumes of documents quickly. The ABBYY OCR is handy for business and paper and PDF document scanning. It is not an ideal solution for OCR with video or complex images; nevertheless, it is one of the fastest and easiest solutions for clean documents.
Cloudmersive OCR API
The Cloudmersive OCR API is a nifty tool for simple text extraction from images. Firstly, it has only one endpoint, Image to Text, and returns all the text in the image as one string rather than by regions. Secondly, it can be helpful when transcribing a big blob of text (from a book/paper).
Simple OCR SDK
The Simple OCR SDK is appropriate for simple, lightweight OCR solutions. While the Simple OCR SDK doesn’t have many features, it is streamlined and fast. It has advanced features, including template matching, character set selection, and auto-rotate.
Smart OCR API
The Smart OCR SDK is a solid solution for those who are scanning documents. However, it isn’t suitable for integration into things such as live mobile apps because it doesn’t have video support.
Anyline is a primarily mobile OCR SDK. Many mobile solutions use OCR, from automatic translation services to augmented reality games. Developers who specialize in mobile technology and want to integrate OCR technology into their mobile applications will find Anyline OCR the most robust solution.
All the OCR technology, as mentioned above, has its merits and demerits, but Filestack is the clear winner. For more information, click the link: https://blog.filestack.com/testimonial/top-ocr-platforms-2019/.
Why Does Filestack Have The Best OCR SDK?
We can consider Filestack OCR as the Best OCR SDK on the condition that the following question-answer is yes.
Is Filestack OCR API Scalable?
Filestack OCR SDK is scalable to any business. It is handy and built to handle data extraction for your small business or sizeable enterprise-level corporation.
Is Filestack OCR API Efficient?
Manual data processing isn’t efficient and is time-consuming and error-prone. Filestack OCR easily integrates with your website or application. It allows for quick uploads and accurate data entry, regardless of coding.
Is Filestack OCR API Accurate?
Filestack contains the best OCR SDK, AI, and Machine Learning-based image and reading recognition services. As a result, it reduces possible errors in data entry.
Is Filestack OCR API User-Friendly?
Rather than developing an in-house solution, your business can quickly integrate Filestack’s OCR SDK with your existing workflows. Filestack supports integration with third-party platforms, providing accurate and robust optical character recognition to mobile apps, web platforms, and native desktop applications. Not only does this cut down on development time, but it also removes the need for in-house support, troubleshooting, and testing.
Ready To Start Gaining Insights Through Filestack’s OCR API?
Filestack offers one of the best OCR APIs. It makes data collection, processing, and extraction easy and efficient.
So, head over to Filestack and sign up for free today!
Read More →