How do I extract Timetable information from a PDF?

📰 Reddit r/learnprogramming

Extract timetable data from PDFs to find the fastest travel times between locations using Python and OCR tools

intermediate Published 27 May 2026
Action Steps
  1. Install the PyPDF2 library to read PDF files
  2. Use the Tesseract-OCR engine to extract text from PDF pages
  3. Apply regular expressions to parse the extracted text and extract timetable data
  4. Store the extracted data in a database or data frame for further analysis
  5. Use a routing algorithm to calculate the fastest travel times between locations
Who Needs to Know This

Data scientists and software engineers can benefit from this task as it involves data extraction, processing, and analysis to provide insights on travel times. The team can work together to design a pipeline for data extraction, processing, and visualization.

Key Insight

💡 Use OCR tools like Tesseract to extract text from PDFs and then apply data processing techniques to extract relevant information

Share This
Extract timetable data from PDFs using Python and OCR tools 🚂💻

Key Takeaways

Extract timetable data from PDFs to find the fastest travel times between locations using Python and OCR tools

Full Article

Example Timetable + Notation https://limewire.com/d/FMcM8#1AMnjQRx2W I have a folder of 195 timetables, all of which are 1-139 pages long. I'm looking to extract the data from these timetables so that they can be easily read by program. The objective is to allow my computer to look at them and go: "This is the fastest time between AB, AC, AD etc etc". I've tried us
Read full article → ← Back to Reads

Related Videos

SQL Interview Questions and Answers (2026) | SQL Window Functions
SQL Interview Questions and Answers (2026) | SQL Window Functions
Rajeev Kanth | BEPEC
How to Prompt Your LLM Directly from SQL
How to Prompt Your LLM Directly from SQL
Ian Wootten
People Skills for Analytical Thinkers (Ep. 1005 with Gilbert Eijkelenboom)
People Skills for Analytical Thinkers (Ep. 1005 with Gilbert Eijkelenboom)
Super Data Science: ML & AI Podcast with Jon Krohn
What is Data Mesh Explained with Examples
What is Data Mesh Explained with Examples
VLR Software Training
This could be the most perfect data frontend
This could be the most perfect data frontend
Matt Williams
How to Scrape Facebook Ad Library Data + Analyse on n8n 🔥
How to Scrape Facebook Ad Library Data + Analyse on n8n 🔥
DroidCrunch