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FAQ

How do you extract text from a scanned PDF (Python, OCR)?
Yes OCR The best choice to extract from PDF s . The best rmendation is Bitwar Text Scanner s which is the best and most efficient OCR software on the Internet. It supports s 624 723
What is the best Python OCR library?
I came to rmend pytesseract as well (which others already did rmend) it super cool. Often though it depends on your domain so it might be worth doing it in house. If sticking to python it pretty straight forward to use the label # threshold_otsu # (Histogram of Gradients) to feed a Chars74k classifier. In some domains the available OCR libs don fit too well since in some OCR cases there are specific features in your data set that are a bit niche to your domain (skewed street signs from dash cams anime translation with low p-frame value duringpression or interlacing from DVD clone jpeg artifacts in pdf scans etc). I heard OCRopus might be worth looking into as well (haven used it personally) since it uses tesseract-ocr but adds layout analysis. s
What is the way to convert a PDF document to CSV format using Python?
You are right pdf-to-txt tools loose some table formatting depending on how you execute it. I found that if you use `pdfto` you have to `cd` to it location and then execute it. cd . code . parameters code If you run it from different directory like this cd code . parameters code It producespletely different results for tables. I figured it while working on tthis Python script pydemo s It parses PDF table into CSV table. Other scripts hive-scripts s - Extract data from remote Hive to local Windows OS (without Hadoop client).
What Python library should I use to OCR tables from documents?
A general OCR solution is indeed pytesseract like Shay Shwarz user 539726299 said. If the documents are in PDF format you can use socialcopsdev s described here Announcing Camelot a Python Library to Extract Tabular Data from PDFs - SocialCops s
How can I convert a PDF to XML?
Disclaimer Im the founder of s a software solution specialised in transforming semi-structured documents (invoices purchase orders reports ) into structured data such as XML CSV JSON. As already mentioned by other there is unfortunately no easy way to convert PDF to XML files. This is simply because the PDF format doesn include any structuring tags like for example HTML does. A PDF file includes in most cases just a flat description of the visual representation of its content. Which means that there are no indicators which would allow you to easily identify hierarchical data and key data points. Some PDF files actually do have XML data stored in their metadata though. For example electronic PDF invoices might have all relevant key data inside the document metadata. But at the time of writing PDFs containing XML data are rather the exception. But there are still ways to convert PDF to XML s ! You have basically two different problems here to solve First you need to get hold of all and s. The way we do it at Docparser is to check if we can extract data and pipe the files through a OCR library if no was returned. In either case I would rmend to rely on Linuxmand line utilities. While you might also find a Python library the Linuxmands usually work much better in my experience. In case we need to handle scanned s as well as hidden returned by the OCR. Once you are sure that the PDF file contains data you can use the Linuxmand line tool PdfToText s with the option - layout. You should then have a representation of your PDF file which has (nearly) the same layout. Convert Extracted Text Into Structured Data This one is difficult to answer without knowing your specific use-case. Converting unstructured or semi-structured into a XML structure can be easy challenging or impossible. It really depends on the kind of data your are dealing with and how granular the output needs to be. At Docparser we developed a set of tools that can help you transform PDF documents such as invoices purchase orders delivery orders etc. into fine grained structured data objects without any coding. If this is something you would be interested in Ill be more than happy to ge you through our free trial.
What are some interesting projects which can be done by using Python?
ThanksA2A Here is a list of interesting projects which can be done by using Python- italic Web crawlers Python project idea -Analytics is the new cool. Wen Masters Bloggers & Tech Entrepreneurs are crazy about analytic tools because it is something that drives their business. You need to master the art of tracking API & creating a crawl based on HTML that allows you create a web crawler tool that leverage Tech Entrepreneurs with the power to make their business consumer oriented. Dice Rolling simulator using Python -It is a simple game where we create a dice simulator & write the numbers on dice. It is a very basic application you can try to check your skills. Poker hands simulation in Python- Poker hands simulation in Python is the best option to check your skills. Patient information system -A detailed system that maintains records of every patients. This projects require Python help but no matter of worrying we are here to help. Attendance Management System- A system for colleges & schools that ensure proper accountability of kids who all are absent & present. Ticket Reservation System -Building a ticket reservation system in Python will help you fetch more marks &e across as someone very intellectual. Alarm clock using Python - If you want to develop a small App then Alarm is the best Python project idea for beginners. Instagram photo downloader python project idea- Instagram has no feature of saving photos. You can use your development skills based on Python for building a tool that will help you and the world to download pictures from Instagram Plagiarism Checker Python project ideas -If you have mastered the art of creating we crawlers you can easily build your personal plagiarism checker with great ease. Gym Management System - A gym management system is always going to be handy & helpful for keeping a tab on the people enrolling. It will help you to understand the real workings of Python. Digital display application using Python- You can create a digital display application and use this idea to create many more application like Digital clock no. of display board calculators etc. Tic Toc game Python Project idea- If you are a game lover then you can develop a Python game as your first app. So you can create a good UI and implement the concept of Tic Toc Toi. You can also refer my previous answer- italic What is the current trend in python libraries? answer aid 137377 What packages should I study in Python that would be helpful forpetitive programming? I am a beginner in Python. s Hope you like it. Please UPVOTE!! Follow my account Rinu Gour user 5872684 to read my regular answers on Python and Data Science.
Is deep learning suitable for NLP problems like parsing or machine translation?
It sure is! Deep learning techniques have been used successfully in many NLP tasks in the recent years. See Natural Language Processing (almost) from Scratch for example they apply a neural network architecture to solve several basic NLP tasks part-of-speech tagging chunking named entity recognition and semantic role labeling. Later it has been also used for semantic tasks like sentiment analysis . It is verymon these days to use a recurrent neural network to process sequences (e.g. a sentence is a sequence of words). Regarding machine translation see this and these are about parsing 1 2 3 ~danqi . You can read A Primer on Neural Network Modelsfor Natural Language Processing ~yogo for many more examples.
Is there any way to Convert PDF to Json?
Disclaimer Im the founder of s a software solution specialised in transforming semi-structured documents (invoices purchase orders reports ) into structured data such as JSON CSV XML. You have basically two different problems here to solve First you need to extract data from your PDF files Second you probably want to convert the extracted into individual data fields (Title Headline Text Date Reference Number ) which you can use to build your JSON data object Pull Text From PDF Files First we need to check if your PDF files are actually containing data or if they consist of scanned s we use an OCR system to convert them into searchable PDF files. Such PDF files contain the scanned images as well as hidden returned by the OCR. Once you are sure that the PDF file contains data you can use the Linuxmand line tool PdfToText s with the option - layout. You should then have a representation of your PDF file which has (nearly) the same layout. Convert Extracted Text Into Structured Data This one is difficult to answer without knowing your specific use-case. Converting unstructured or semi-structured into a JSON object can be easy challenging or impossible. It really depends on the kind of data your are dealing with and how granular the output needs to be. At Docparser s we developed a set of tools that can help you transform PDF documents such as invoices purchase orders delivery orders etc. into fine grained JSON data objects without any coding. If this is something you would be interested in Ill be more than happy to ge you through our free trial.