SDSParser 0.1.2

Extract chemical data from Safety Data Sheet documents

SDSParser

SDSParser is a browser-based app for extracting chemical data from Safety Data Sheet documents. SDSParser will speed up your data-entry process by eliminating the need to read through Safety Data Sheets to get the data you care about.

For a live demo, click here: SDSParser

For testing purposes, here are some SDS files to download and use:

• Fisher Scientific
• Sigma Aldrich

Motivation

Built out of the need to quickly access chemical data from Safety Data Sheets for data-entry purposes. Each chemical manufacturer will stylize and structure their SDSs a little bit differently. SDSParser can easily be updated to read a new manufacturer format by adding a new set of regular expressions to match the format that that specific manufacturer uses.

Tech/framework used

• pdfminer, a tool for extracting information from PDF documents
• pytesseract, a python wrapper for Google's Tesseract-OCR

Features

Have some physical SDSs you need to scan and get data from? Have no fear, sds_parser will recognize your scanned file as an image and perform optical character recognition (ocr) to extract the text for you.

How to use?

Simply initialize SDSParser with an optional list of data fields you wish to extract (e.g. ['manufacturer', 'flash_point']) to request_keys. See configs.SDSRegexes.SDS_DATA_TITLES for the proper keys to use. If no keys are requested, all available data fields will be searched.

sds_parser = SDSParser(**request_keys=<[keys]>)

then call .get_sds_data() to retrieve the matches by passing in your SDS document in .pdf format.

chemical_data = sds_parser.get_sds_data(file_path)

chemical_data will be a dictionary object mapping request key names to their corresponding matches:

{'Manufacturer': 'Sigma-Aldrich', 
 'Product Name': 'Sodium dodecyl sulfate', 
 'Flash Point': '338', 
 'Specific Gravity': 'No data available', 
 'NFPA Fire': '3', 
 'NFPA Health': '2', 
 'NFPA Reactivity': '3', 
 'SARA 311/312': 'Data not listed', 
 'Revision Date': '06/13/2018', 
 'Physical State': 'Rods', 
 'CAS # (if pure)': '151-21-3', 
 'format': 'sigma_aldrich', 
 'filename': 'sigma_aldrich_23.pdf'}

If the specific field is not found in the SDS, .get_sds_data() will return the string 'Data not listed'. If the field is found, but no data is found under it, .get_sds_data() will return the string 'No data available'.

License

MIT © Aris Stepe