Data automation: from PDF chaos to efficient and accurate Excel

problems

Large PDF database inaccessible due to its volume and clutter. The customer is looking to accurately and consistently sort ungrouped PDF data, but it is time consuming and labour intensive. YusApi is working on an automated tool to solve this kind of common problem and achieve data automation for business efficiency.

Objectives

 1. Automate the extraction of unbundled information.

Ordering data in a conscious way.

Reduce time.

Ensure accuracy and quality of data.

Project procedure

1. Planning phase

We analyse the specific needs of the client and the structure of the PDF to design a suitable solution.

3. Implement phase

An advanced analysis tool is implemented to verify, correct possible errors and shape the data.

2. Development phase

A specific tool was developed for the extraction of PDF data. It takes into account the complexity and diversity of the information in the document.

4. Testing phase

The conversion from PDF to EXCEL is carried out. At this stage, the relevant tests and reliability assessments are carried out.

Results

More than 2,000 pages of information in PDF format exported to Excel spreadsheets within minutes and in a consistent manner, reducing work times and ensuring data accuracy and quality.

Business proactivity has increased by

+20%

The speed of data searches has inceased by

+70%

Sector

  1. Industry.
  2. Services.
  3. Trade and commerce.
  4. Transport.
  5. Communications.
  6. Health.
  7. Education.

Technologies used

Textricator

RapidMiner

Python

CSV

Excel

Other use cases

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