India voter list: ETL with data verification and transliteration
Apriori Data asked Intsurfing to gather India voter ID list from electoral authorities. Our client needed this data from every state and administrative division. The data had to be cleaned, standardized, and cross-checked with information from India Post.
The information in registries was available in 22 official languages, so we had to transliterate it in English. The goal was to combine everything into one file that would be easily accessible and updated each year.
Key challenges of the voter list India project
Handling 1 billion records is no small task—it demands serious computational power and massive storage. On top of that, we had to make sure data retrieval was fast, updates were seamless, and data was exhaustive.
We faced a mix of register voter ID India data, all in different formats and languages. Most of the records were in PDFs, but there were also photos of handwritten voter forms in languages that typical OCR tools couldn’t handle.
To ensure accuracy, we matched up the data from the Indian electoral authorities with records from India Post. This involved India voter list verification (names and addresses), which turned out to be quite challenging due to the different formats and structures of the data.
We were dealing with voter data in 22 languages, each specific to a different state or territory in India. Punjabi gave us the most trouble because the OCRs couldn’t pull text from images. We kept the original language but had to convert the non-English data into Roman characters. This process called for a blend of expert linguistics and sophisticated transliteration algorithms.
How we built an Indian voter list online
Data collection
We deployed custom modules to collect NVSP India voter list, in the form of PDFs and images, from Electoral Authorities all over India.
Training machines
We teamed up with linguistic experts to create algorithms that could teach our machines to understand and process 22 different Indian languages.
Data extraction
We developed code to pull data from PDFs and used OCR technology to extract information from images of voter forms.
Standardization
Once the data was extracted, we cleaned it up, standardized it, and transliterated it—all to deliver it in a unified format.
Data validation
To make sure we deliver the correct voter list details India, we cross-referenced the standardized data with name and address details from India Post.
Annual updates
We monitor voter list update India and edit the voter database to include the latest information from Electoral Authorities and India Post.
Technologies we used in the voter registration India online project
AWS
.NET
Tesseract OCR
The results of the India voter data project
Our client now has a centralized digital voter ID database for India, featuring over one billion records from 36 sources. The data is available both in native languages and transliterated into English. This file includes 63 fully verified and normalized data fields:
- Voter name
- Relation's name
- EPIC number
- Address
- Age
- Sex
- Year of birth
- Year of electoral roll revision
- Polling station name
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