Toptal develops advanced PDF data extraction system for financial firm.
Toptal created an automated system for extracting structured data from PDFs, enabling a financial firm to move from manual processes to a scalable, algorithm-driven solution.
Client
A UK-based financial research firm delivering macroeconomic and market insights on emerging and frontier economies.
Employees
Revenue
Industry
Financial ServicesDelivered Services
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The firm relied on manual processes for extracting data from PDFs, leading to inefficiencies and errors that hindered scalability and accuracy.
Solution
Automated Table Extraction
Toptal developed complex algorithms to automate the extraction of table data from PDFs, ensuring precise identification of values using row and column headers.
Key/Value Pair Extraction
Toptal expanded the system to include key/value pair extraction, allowing for the automated processing of various data types beyond financial information.
Outcome
Increased Efficiency
The automated system significantly improved data extraction accuracy and reduced manual labor, enhancing the firm’s operational efficiency.
Expanded Service Offerings
The new capabilities allowed the firm to offer structured data extraction as a service, attracting new clients and broadening their market reach.
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