The Hidden Time Drain in Pharma Research
You’re analyzing 12,000 PDFs of clinical trial reports for mentions of *"Compound X-45"*. Ctrl+F fails because:
- 40% of files are scanned as text-based PDFs (WordsDigger can search these, **but not image-based PDFs**)
- Naming inconsistencies (*X45*, *x-45*, *Compound_X45*) require 6+ search attempts per document
- Industry data shows researchers waste **218 hours/year** on such searches (2024 Pharma Efficiency Report)
Solution: WordsDigger’s *case-insensitive, multi-format* search scans all text-containing files (including .pdf, .docx, .csv) in one operation.
How It Solves 3 Pharma-Specific Problems
1. Batch-Search Decentralized Data
Pain Point: Chemical data scattered across lab notebooks (PDFs), Excel toxicity reports, and Word trial summaries.
WordsDigger Fix:
- Set search depth to subfolder level (e.g., */Research/Phase_2/Compounds*)
- Single query for *"x45"* covers all variations (CF-List: *case-insensitive search*)
2. Overcome Naming Inconsistencies
Traditional Method**: Manually checking *X45 vs. X-45* in each file.
Breakthrough:
- Search *"x45"* automatically detects all spelling variants
- Exclude non-relevant hits by adding *-"cell45"* (exclusion syntax)
3. Secure Offline Searching
Compliance Benefit**:
- Zero data uploads (verified via network monitoring - CF-List *offline privacy*)
- 14-day refund policy allows risk-free testing
Case Study: Accelerating Preclinical Reviews
Background: A Basel-based team needed safety data on *"Compound Y-72"* across 8,000 documents.
Before WordsDigger: 3 team members spent 2 weeks manually reviewing files.
After Implementation:
- Located all references in **11 minutes** (including .ppt files with older formatting - CF-List *doc/ppt lag noted*)
- Discovered 4 previously missed toxicity mentions in CSV files
Exclusive Offer for Pharma Teams
If you need a custom version to retrieve files in other formats, please contact support@doertechx.com.
14-day money back guarantee.