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Extract chemical data from Safety Data Sheet documents

Project description

![alt text](

## 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 install

`pip install SDSParser`

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

>>> from sdsparser import SDSParser
>>> request_keys = ['manufacturer', 'flash_point', 'specific_gravity', 'product_name', 'sara_311', 'nfpa_fire']
>>> parser = SDSParser(request_keys=request_keys)

Here is a list of the keys to use.
>>> from sdsparser.configs.SDSRegexes import REQUEST_KEYS

Call `parser.get_sds_data('path/to/ExampleSDS.pdf')` and pass in the path to your SDS document to get the sds data.

>>> sds_data = parser.get_sds_data('path/to/SafetyDataSheet.pdf')

`.get_sds_data` returns a dictionary object mapping request key names to their corresponding matches

>>> sds_data
'manufacturer': 'Sigma-Aldrich',
'product_name': 'Sodium dodecyl sulfate',
'flash_point': '338 F',
'specific_gravity': '3.2',
'sara_311': 'Data not listed'
'nfpa_fire': 'No data available'

If the heading for the requested data type is not found in the SDS, `.get_sds_data` will return the string 'Data not listed'.
If the heading is found, but no data is found under it, `.get_sds_data` will return the string 'No data available'.

## SDSParser-cli

In your terminal

path/to/sds/directory $ sdsparser parse --flash_point --specific_gravity
{'fisher_1.pdf': {'flash_point': 'No data available',
'specific_gravity': 'No data available'},
'fisher_2.pdf': {'flash_point': 'No data available',
'specific_gravity': 'No data available'},
'fisher_3.pdf': {'flash_point': 'No data available',
'specific_gravity': '1.84'},
'fisher_5.pdf': {'flash_point': 'No data available',
'specific_gravity': 'No data available'}}
path/to/sds/directory $ sdsparser parse --csv
path/to/sds/directory $ cat sds_data.csv
Fisher,Data not listed,No data available,No data available,1,0,0,/312 Hazard CategoriesSee section 2 for more informationCWA (Clean Water Act)Not,26-Jan-2018,Powder,Data not listed
Fisher,"Salicylic acid, sodium salt",No data available,(etc...)
for more information
$ sdsparser --help
$ sdsparser parse --help

## License

MIT © [Aris Stepe](

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