Clean chemical spreadsheets from Excel, CSV or pasted lists. Check CAS number format and check digits, tidy spacing and flag duplicates. Free, private, no signup.
- Chemical Data Cleanup
- CAS Number Validator
- Spreadsheet Cleaner
- Excel Data Cleaning
- Chemical Inventory Management
- Duplicate Detection
- CAS Check Digit Validation
- Laboratory Data Tools
- Private Browser-Based Tool
- No Upload Required

Validating CAS check digits, not just the hyphen pattern, makes this genuinely useful for anyone cleaning a lab chemical inventory spreadsheet. Since duplicates often appear as the same CAS with different chemical names, could the duplicate detection group rows by CAS and show the conflicting names side by side? An export of only the flagged rows would also speed up manual review.

The CAS check-digit validation is the detail that tells me this was built by someone who has actually suffered through messy chemical inventories — most cleaners only check the hyphen format. Running it fully in-browser is the right call too, since lab data is often proprietary. Does it normalize common variants like unhyphenated CAS numbers, or does it flag malformed entries for manual review instead of auto-correcting?
This is a niche but genuinely valuable tool — messy CAS numbers in lab spreadsheets are a real pain point. The check-digit validation (not just format checking) is the standout feature, and running entirely in the browser with no upload is a big plus for proprietary lab data. One suggestion: a batch 'fuzzy match' mode for near-miss CAS numbers would save a lot of manual cleanup time. Congrats on the launch!
Interesting angle — most "AI for science" tools jump straight to generating results, but helping researchers structure and clean data is the unglamorous step that actually saves time. Two questions: do you handle messy real-world datasets (missing values, mixed units, inconsistent lab formats) or mainly well-structured inputs? And is it aimed at students or working researchers? If you add export to common formats (CSV/Excel/Origin), that alone would make it genuinely useful day one. Good luck!
Interesting angle — most "AI for science" tools jump straight to generating results, but helping researchers structure and clean data is the unglamorous step that actually saves time. Two questions: do you handle messy real-world datasets (missing values, mixed units, inconsistent lab formats) or mainly well-structured inputs? And is it aimed at students or working researchers? If you add export to common formats (CSV/Excel/Origin), that alone would make it genuinely useful day one. Good luck!


Validating the CAS check digit rather than just the hyphen pattern is what makes this genuinely useful for anyone cleaning chemical inventories. Would batch validation of a whole column of CAS numbers in one pass be possible? That would be a real time-saver for lab managers maintaining large supplier lists.
Validating the CAS check digit rather than just the hyphen pattern is what makes this genuinely useful — a format-only check would pass numbers that are actually wrong, which is exactly how bad data quietly spreads through inventories. Running it entirely in the browser is also the right call for lab data, since inventory lists often can't leave the organization. A natural next step would be a bulk mode that flags invalid entries across an entire pasted column and exports a cleaned CSV, so it slots into an existing inventory workflow.
Really smart niche tool! CAS number validation is one of those tedious tasks that researchers and lab managers deal with constantly. The fact that it runs entirely in the browser with no upload required is a huge plus for data privacy. Would love to see batch processing for large inventory lists in future updates.
Checking the CAS check digit, not just the format, is the detail that makes this useful. A typo like a swapped digit still looks like a valid CAS number, and that's exactly the kind of error that slips through a manual review of an inventory sheet. Running everything in the browser also matters more here than for most tools, since a lot of lab and compliance data isn't allowed to leave the company. Being able to paste a column straight from a spreadsheet instead of exporting a file first is a nice touch too.

Validating CAS check digits, not just the hyphen pattern, makes this genuinely useful for anyone cleaning a lab chemical inventory spreadsheet. Since duplicates often appear as the same CAS with different chemical names, could the duplicate detection group rows by CAS and show the conflicting names side by side? An export of only the flagged rows would also speed up manual review.

The CAS check-digit validation is the detail that tells me this was built by someone who has actually suffered through messy chemical inventories — most cleaners only check the hyphen format. Running it fully in-browser is the right call too, since lab data is often proprietary. Does it normalize common variants like unhyphenated CAS numbers, or does it flag malformed entries for manual review instead of auto-correcting?
This is a niche but genuinely valuable tool — messy CAS numbers in lab spreadsheets are a real pain point. The check-digit validation (not just format checking) is the standout feature, and running entirely in the browser with no upload is a big plus for proprietary lab data. One suggestion: a batch 'fuzzy match' mode for near-miss CAS numbers would save a lot of manual cleanup time. Congrats on the launch!
Interesting angle — most "AI for science" tools jump straight to generating results, but helping researchers structure and clean data is the unglamorous step that actually saves time. Two questions: do you handle messy real-world datasets (missing values, mixed units, inconsistent lab formats) or mainly well-structured inputs? And is it aimed at students or working researchers? If you add export to common formats (CSV/Excel/Origin), that alone would make it genuinely useful day one. Good luck!
Interesting angle — most "AI for science" tools jump straight to generating results, but helping researchers structure and clean data is the unglamorous step that actually saves time. Two questions: do you handle messy real-world datasets (missing values, mixed units, inconsistent lab formats) or mainly well-structured inputs? And is it aimed at students or working researchers? If you add export to common formats (CSV/Excel/Origin), that alone would make it genuinely useful day one. Good luck!


Validating the CAS check digit rather than just the hyphen pattern is what makes this genuinely useful for anyone cleaning chemical inventories. Would batch validation of a whole column of CAS numbers in one pass be possible? That would be a real time-saver for lab managers maintaining large supplier lists.
Validating the CAS check digit rather than just the hyphen pattern is what makes this genuinely useful — a format-only check would pass numbers that are actually wrong, which is exactly how bad data quietly spreads through inventories. Running it entirely in the browser is also the right call for lab data, since inventory lists often can't leave the organization. A natural next step would be a bulk mode that flags invalid entries across an entire pasted column and exports a cleaned CSV, so it slots into an existing inventory workflow.
Really smart niche tool! CAS number validation is one of those tedious tasks that researchers and lab managers deal with constantly. The fact that it runs entirely in the browser with no upload required is a huge plus for data privacy. Would love to see batch processing for large inventory lists in future updates.
Checking the CAS check digit, not just the format, is the detail that makes this useful. A typo like a swapped digit still looks like a valid CAS number, and that's exactly the kind of error that slips through a manual review of an inventory sheet. Running everything in the browser also matters more here than for most tools, since a lot of lab and compliance data isn't allowed to leave the company. Being able to paste a column straight from a spreadsheet instead of exporting a file first is a nice touch too.
Find your next favorite product or submit your own. Made by @FalakDigital.
Copyright ©2026. All Rights Reserved