Client Profile:
A leading provider of historical environmental and property intelligence data in the United States. Their datasets support environmental due diligence, real estate transactions, property research, and title investigations.
To expand its historical data coverage, the client needed a scalable technology solution capable of digitizing and extracting structured information from historical city directories.
With Hitech i2i, we fully automated processing of 20,000+ historical city directories, eliminating manual handling and accelerating integration with our parcel, ownership, and land use datasets. This has enabled richer insights and faster analysis for our commercial real estate clients
Chief Product OfficerLeading U.S. CRE Intelligence Platform, USA
Historical City Directory Digitization Pipeline
The Challenges
- Wide variation in scan quality across decades, including faded text, skewed pages, bleed‑through artifacts, and low‑resolution images.
- Complex five‑column layouts on each page, making direct OCR and automated extraction difficult.
- Inconsistent layouts, fonts, and formatting across cities and publication years.
- Requirement to retain exact coordinate mapping of extracted fields for efficient Human‑in‑the‑Loop validation.
- Need for an automated platform capable of processing large archival datasets efficiently.
The Hitech i2i Solution
- Integrated a computer‑vision-based scan quality evaluation module to classify images as usable or requiring rescan.
- Developed an automated column segmentation engine to detect and crop five‑column layouts.
- Implemented AI‑based image preprocessing including deskewing, brightness correction, and enhancement.
- Enhanced the Hitech i2i engine with coordinate‑aware extraction to preserve exact data locations in the source document.
- Introduced a confidence‑driven Human‑in‑the‑Loop workflow for validating low‑confidence outputs.
The Result
- Estimated reduction of manual processing effort by approximately 80% through automated column segmentation and preprocessing.
- 98%+ data accuracy achieved after Human-in-the-Loop validation during the pilot implementation.
- More than 90% of scanned pages automatically classified for downstream processing using the scan quality evaluation module.
- Successful automation of five-column directory page segmentation, significantly reducing manual layout handling.
- Customized Hitech i2i platform demonstrated readiness for large-scale directory processing.
