The “Model Metrics” tab shows the various measurements and comparative analyses that allowed Nanonets to pick the best OCR model among all that were built. Nanonets then picks out the most accurate OCR model. Nanonets leverages deep learning to build various OCR models and tests them against each other for accuracy. You can upgrade to a paid plan to get faster results (under 20 minutes). Training usually takes between 20 mins-2 hours depending on the number of models & files queued for training. Once the annotation is complete, click on “Train Model”. Nanonets is not bound by the template of the document! You can also add a new label to annotate text. This will teach the OCR model to identify relevant portions of text in the PDF. The accuracy of the OCR model you build will greatly depend on the quality and quantity of the uploaded PDF files.Īnnotate each piece of text with an appropriate field or label. These will serve as a training set for the OCR model on how to extract text according to your requirements. Login to Nanonets and click on “Create your own OCR model”. You can typically build, train and deploy a model for any document type, in any language, all in under 25 minutes (depending on the number of files used to train the model). How to extract text from PDF by building a custom Nanonets OCR model?īuilding a custom Nanonets OCR model to extract text from PDFs is pretty straightforward. Need a free online OCR to extract text from image, extract tables from PDF, or extract data from PDF? Check out Nanonets and build custom OCR models for free! Once everything is verified, you can export all the extracted text as a neatly organized xml, xlsx or csv file. Quickly verify the extracted text to check whether anything was missed or incorrectly extracted. A table view displays a list of all the text extracted from each PDF file. You can add as many PDFs as you like.Īllow a few seconds for the model to run and extract text from the PDF documents. If none of the pre-trained OCR models describe your document, skip this method and read ahead to find out how to create a custom Nanonets OCR model.Īdd the PDF files/documents from which you want to extract text. Login to Nanonets and select a model that matches the document type from which you want to extract text. Step 1 - Select a pre-trained model for your use case If your PDFs fall under any of the following document types listed below, you can use the appropriate Nanonets pre-trained model to extract text instantly in a neat and organized manner: How to extract text from PDF using Nanonets pre-trained OCR models? The Nanonets pre-trained Receipt OCR model in action
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