The best alternatives to Screenshot Text Recognition are Nanonets, OwlOCR 1.0, and Base64.ai. If these 3 options don't work for you, we've listed over 10 alternatives below.
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AssemblyAI— The most accurate API for conversational speech-to-text
Nanonets is an AI-driven solution that automates document processing and data extraction workflows. Leveraging advanced Optical Character Recognition (OCR) and deep learning models, Nanonets helps companies automate document-heavy business processes like accounts payable, order processing and insurance underwriting. Nanonets processes unstructured documents such as invoices, receipts, purchase orders, contracts, claims, and forms and converts them into structured output.
OwlOCR offers simple optical character recognition of text in PDF files, images or on-screen and converts that to plain text. All conversion is done securely on-device - none of the data are sent to third-party services in the cloud as most applications do.
Base64.ai is a cloud API that can extract data, photos, and signatures from all types of documents. We have prebuilt models for IDs, driver licenses, passports, visas, invoices, and many more document types. The integration is only a single API call.
Infrrd OCR is an Enterprise Machine Learning OCR platform that gives organizations deep insights from big data with the help of interactive AI algorithms based on machine learning to drive decisions and automate extraction. The powerful OCR solution learns from data to accurately infer the key fields from receipts, invoices and business documents.
EasyOCR is the easiest way to extract text from any images. It is a no code AI platform that can be fine tuned to your specific use case with just a few examples. - Support >80 languages - Tunable to your use case - Need small dataset
This is an online service used to convert video from one format to another and apply various changes to the video before converting, like trimming it or adding subtitles. Furthermore, it can convert video to audio or replace an audio track with another one.