PYTHON DEVELOPMENTMerlin
The Challenge
Merlin Datawise approached Raw Jam with a clear objective: streamline and automate the process of extracting keyphrases and keywords from a vast array of document formats, including scanned files and images. The manual workload required to process this data was resource-intensive and inefficient. Merlin needed a solution that would reduce human effort while improving accuracy, consistency, and scalability across their document-heavy operations.
The Solution
Raw Jam designed and developed Keywise, a cross-platform document keyphrase extraction tool built to handle complex data ingestion tasks. Written in Python and designed for compatibility on both Windows and Linux systems, Keywise was engineered to process large volumes of documents—regardless of their format or origin. Key features of the solution included:
- OCR Integration: Support for scanned PDFs and image-based documents via Optical Character Recognition, allowing even legacy or non-digital formats to be indexed.
- Advanced NLP Algorithms: Custom-built keyword and keyphrase extraction logic using state-of-the-art natural language processing techniques.
- Cross-Platform Delivery: Packaged as a containerised Windows application and native installers for .deb and .rpm-based Linux distributions.
- Intuitive UI: A clean and user-friendly graphical interface that made the powerful backend easy to operate for non-technical users.
The system’s modular architecture ensured future scalability, and its flexibility made it adaptable to the specific demands of multiple industry sectors.
The Impact
Upon launch, Keywise immediately transformed document processing workflows for Merlin Datawise. Manual keyphrase extraction tasks—once time-consuming and error-prone—were now automated and standardised. This not only saved time but also allowed staff to focus on higher-value analysis and insight generation. Keywise proved to be a practical and impactful solution, underlining Merlin Datawise’s commitment to innovation in data handling and automation. It delivered measurable improvements in productivity while offering a platform that could evolve with the business’s future data needs.
What Made It Special
What set Keywise apart was its intelligent approach to document analysis—automating complexity without compromising usability. It brought together powerful back-end processing with an accessible front end, demonstrating how well-engineered software can elevate efficiency across the board.
Read more case studies
Ready to work with us?
Lorem ipsum dolor sit amet, consetetur sadipscing elitr, sed diam erat, sed diam voluptua. Lorem ipsum dolor sit amet, consetetur sadipscing elitr,