Docpier History Background

What's new?

Bank statements are extracted with greater precision.

Docmind now extracts bank statements in greater detail and automatically detects period information.

Optimizations

Docmind identifies invoice types, sender addresses, and UID and VAT numbers with greater stability.

Several recognition patterns have been refined - for more precise results with frequently occurring document types.

Optimizations

A new document type is live: Land Register Extracts

Docmind now automatically recognizes land register extracts. All information regarding the properties contained is directly available: property number, owners, priority notices, annotations, and more. Ideal for automating lending processes.

Docmind now also extracts data from purchase orders.

Purchase orders arrive daily in purchasing – containing information that has historically been nearly impossible to process automatically. Docmind now recognizes them and extracts all relevant fields directly: buyer, seller, supplier, delivery terms, and delivery address. Ideal for procurement processes, invoice verification, and automated downstream processing.

A new document type is live: credit card statements.

Credit card statements contain valuable transaction data that previously could often only be captured manually. Docmind recognizes them automatically and extracts all relevant fields: cardholder, card account number, and all transactions. Ideal for automated accounting processes.

Optimizations

3rd-pillar tax certificates are now live.

Pillar 3a certificates play a central role in tax declarations, regularly flooding into the fiduciary workflow in large volumes. Docmind automatically recognizes them and extracts all structured information regarding contributions and buy-ins. Less typing, fewer errors.

Optimizations

Debt collection register extracts are automatically detected.

Debt collection register extracts contain sensitive and detailed information, ranging from details about the debt collection office to individual entries with dates, status, and claim amounts. Docmind automatically recognizes them and fully extracts all relevant fields. This allows credit checks, for example, to be directly automated.

A new document type is live: salary certificates.

Docmind now automatically recognizes wage statements and extracts all relevant information completely: salary, contributions, expense allowances, and more. All structured and ready for automated further processing.

Energy documents are now read and analyzed down to the smallest detail.

Energy documents contain fields that are often lost in standard extractions. Docmind now also extracts energy-specific details: measuring points, meter information and consumption values are directly available as structured data, ready for automated further processing.

Optimizations

Insurance policies are automatically recognized.

Insurance policies are among the most complex documents in the insurance and fiduciary sectors. Docmind now automatically recognizes them and extracts all relevant fields directly: policyholder, broker, insurance type and more. Structured and ready for direct processing.

Optimizations

Docsplit now splits automatically.

Anyone who works with stacks of documents on a daily basis knows the challenge: a single PDF contains ten different documents, and everything has to be split manually. Docsplit now handles this fully automatically. It analyzes multi-document files, detects where one document ends and the next begins, and splits them cleanly. This allows all documents to be seamlessly processed further, without any manual intervention. Learn more