Chemical Analysis Report OCR Data Extractor.

Accurately extract over 20+ data fields from multiple Chemical Analysis Reports all at once, including line items, in 56 languages.

500+

global customers

250M+

documents processed

10+

years experience

See our Chemical Analysis Report parser in action.

Our easy-to-use parser's interface is designed for everyone, with no training required for use.

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the free tool?

Open this web page on a desktop device to upload your documents and see how it works for yourself.

What is a Chemical Analysis Report OCR Data Extractor?

A Chemical Analysis Report OCR Data Extractor is a sophisticated tool that utilises Optical Character Recognition (OCR) coupled with Artificial Intelligence (AI) to automate the extraction of data from chemical analysis reports. This technology scans and converts these documents, accurately capturing detailed information such as chemical compositions, testing methodologies, and results. Automating the data extraction process ensures greater accuracy and efficiency,which is crucial for laboratories, manufacturing companies, and regulatory bodies that require precise chemical data for compliance and quality control. With a Chemical Analysis Report OCR Data Extractor, companies can streamline their data management, enhance accuracy, and reduce the time spent on manual entry, leading to more efficient operations and reliable documentation.

The benefits of using a Chemical Analysis Report OCR data extractor are vast, enhancing data accuracy, speeding up information processing, and reducing operational costs. By automating the extraction of intricate chemical composition data, analytical results, and testing methodologies from Chemical Analysis Reports, the tool significantly minimises the manual labor involved. This ensures higher accuracy in chemical data management and enables swift integration of this data into laboratory information management systems (LIMS) or quality management systems (QMS). The streamlined handling and quick accessibility of data facilitate more efficient reporting and adherence to regulatory standards. A Chemical Analysis Report AI-powered OCR data extractor is a critical asset for laboratories and businesses involved in chemical testing and analysis.

Automatically process your Chemical Analysis Reports in four simple steps.

Step 1

Upload your documents to Affinda directly to our app, or by integrating with email or document management platforms

Step 2

Our OCR Chemical Analysis Report extractor will automatically scan, extract, label and categorise the data on the Chemical Analysis Reports in seconds

Step 3

Export the data in a structured and usable format. Integrate our Chemical Analysis Report parser with any downstream system or platform to use your data where you need it most

Step 4

Need an AI data extractor customised to your specific business needs? Our expert team can build a model tailored to your business workflows that integrates seamlessly with existing processes.

Extract data from dozens of fields.

Our AI Chemical Analysis Report OCR solution automatically extracts data from over 20+ fields.

Report Details

Report Number
Issue Date
Analyst Name

Sample Details

Sample ID
Sample Description
Date Collected

Analysis Results

Analyte Name
Concentration
Unit

Conclusion

Compliance Status
Comments

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Innovative features that set us apart from the rest.

Superior accuracy

Over 20+ fields extracted

Supports multiple file formats: PDF, JPG, PNG

Highly flexible and customisable

Supports over 56 languages

Upload and extract in bulk

Self-learning models improve over time

Seamless upstream and downstream integration

Businesses around the world use our Chemical Analysis Report OCR Extractor in different industries and use cases.

Pharmaceutical companies use our Chemical Analysis Report OCR data extractor to manage and verify chemical composition data, speeding up research and development processes.

Environmental testing laboratories leverage our OCR technology to accurately capture and analyse chemical data, improving reporting accuracy and efficiency.