Extracting Financial Statements from PDF Using OCR Techniques

Hey I'm looking to analyze the full account statement of any given company from Companies House UK. However, the challenge is that these financial statements are often in PDF format, and many are scanned documents rather than digitally readable text. To extract the data, I need to use Optical Character Recognition (OCR) to convert the text into a machine-readable format before conducting a detailed financial analysis. I wonder if Claygent can read the text? Because so far, no success in extracting the full content accurately.

12 comments

Channeled
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Claygent, our AI web scraper, is primarily designed to extract and analyze information from web pages rather than scanned PDF documents. While Claygent is powerful for tasks like finding and extracting data from company websites, 10-K reports, and online sources, it doesn't have built-in OCR capabilities for processing scanned documents. However, Clay does offer various AI capabilities that might be helpful for your task: 1. Research unstructured data from websites 2. Clean and format data 3. Categorize information 4. Write formulas using natural language For your specific need of extracting text from scanned PDF financial statements, you might need to use a specialized OCR tool before using Clay for analysis. Once you have the text in a digital format, you could potentially use Clay's AI capabilities to process and analyze the extracted data. What specific type of analysis are you looking to perform on the financial statements once you have the text extracted?
Sources: Claygent: AI Web Scraper [Clay 101] - Clay University Clay AI Capabilities Claygent: AI Web Scraper [Limitless Research] - Clay University
Jean M.
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Looking for the qualitative insight of the account statement
Channeled
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For qualitative insights from financial statements, we offer a specialized AI agent called "Financial Filings Q&A". Here's how you can use it: 1. Go to "Add Enrichment" and select "Financial Filing Questions" 2. Set your date range and choose document types (e.g., 10-K) 3. Enter natural language questions about the filings 4. Receive targeted answers extracted from the official documents This tool allows you to gain insights without manually reviewing the entire document. It's designed to work with digital text, so you'll need to use OCR to convert scanned PDFs first. Additionally, we have a template for extracting data from 10-K reports quickly. While it's primarily for U.S. SEC filings, the process might be adaptable for your UK Companies House statements once they're in digital format. If you need further assistance, please request human support by clicking "Talk to a person".
Sources: Claybooks: Extract data from hundreds of 10-K reports in minutes | Clay.com Enhanced table exclusions, simplified email sequencers, Notion integration, Google Docs integration, and more!
Channeled
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Andrew C.
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Hi,
Channeled
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Yes, Claygent can help analyze qualitative insights from UK Companies House financial statements after using OCR to extract text from scanned PDFs. Here's how you can use it: 1. First, use OCR to convert the scanned PDFs into machine-readable text. 2. In Clay, go to "Add Enrichment" and select Claygent under AI tools. 3. Create a prompt instructing Claygent to analyze the extracted text for qualitative insights. 4. Define column outputs for specific data points you want to extract. Claygent can summarize financial statements, find key information, and provide insights at scale. If you need further assistance, please request human support by clicking "Talk to a person".
Sources: Claybooks: Extract data from hundreds of 10-K reports in minutes | Clay.com Claygent: AI Web Scraper [Clay 101] - Clay University Claygent: AI Web Scraper [CRM Enrichment] - Clay University
Andrew C.
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I capture the daily published accounts using OCR, I then populate a main database. The information I collect is attached, the file comprises of all of the companies that filed their accounts yesterday, I then enrich it with SIC Code, Director Names and Incorporation date all from 1 tool.
Channeled
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We can help you enrich your database with the information you need. Here's how to use Clay for this: 1. Import your data: Upload your CSV file with the daily published accounts to Clay. 2. Add enrichments: In the enrichment panel, select data providers that offer SIC Code, Director Names, and Incorporation Date. HG Insights and HitHorizons are good options for this information. 3. Configure enrichments: Set up each enrichment to pull the specific data points you need. 4. Run the enrichment: Apply the enrichments to your imported data. 5. Export or sync: Once enriched, you can export the data back to your database or set up automatic syncing. For the most up-to-date and accurate process, you may want to request human support by clicking "Talk to a person" for personalized guidance.
Sources: Data points: Company Location - Country | Clay.com Clay for RevOps | Clay.com Data points: Company Industry - SIC | Clay.com Data points: Founded Year | Clay.com
Jean M.
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Andrew C. How did you do that?
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To enrich your database with SIC Code, Director Names, and Incorporation Date using Clay: 1. Import your CSV file with daily published accounts into Clay. 2. Add enrichments using data providers like HG Insights or HitHorizons for SIC Code and company information. 3. Use People Data Labs or similar providers for Director Names. 4. Set up each enrichment to pull the specific data points you need. 5. Run the enrichments on your imported data. 6. Export the enriched data back to your database or set up automatic syncing. If you need more detailed guidance, please request human support by clicking "Talk to a person".
Sources: Data points: Company Industry - SIC | Clay.com Import a File Data points: Company Industry | Clay.com Data points: Founded Year | Clay.com
Andrew C.
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From the tool I have developed
Owen C.
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Hey Jean, thanks for reaching out! Just wanted to close the loop here, if your question was not fully answered please let us know! Happy to jump in and help. :)