Flinks Upload processes bank statements and void cheques, extracting structured financial data with built-in fraud detection. This page covers what Upload can do and its operational limits.Documentation Index
Fetch the complete documentation index at: https://docs.flinks.com/llms.txt
Use this file to discover all available pages before exploring further.
Processing times
Upload offers two processing modes:| Mode | Typical time | Description |
|---|---|---|
| Instant | 2–5 minutes | Automated extraction with machine learning. Best for real-time onboarding flows. |
| Complete | 15–25 minutes | Includes Human-in-the-Loop review for maximum accuracy. Recommended for lending decisions. |
Processing time depends on document complexity (number of pages, transaction volume) and file quality. Image-based PDFs take longer than parsable PDFs.
Accuracy
Flinks Upload achieves >99% field-level accuracy for data extraction, supported by a Human-in-the-Loop review process that catches and corrects edge cases. Extracted fields include:- Account holder name and address
- Account number
- Statement period
- Opening and closing balances
- Individual transactions (date, description, debit/credit, balance)
File limits
| Limit | Value |
|---|---|
| Max files per upload | 24 files |
| Max total size | 180 MB across all files |
| Max per file | 20 MB |
| Files per upload | Multiple files count as a single upload for quota purposes |
Supported file formats
| Format | Supported |
|---|---|
| PDF (parsable — text-based) | Yes |
| PDF (image-based — scanned) | Yes |
| JPEG | Yes |
| PNG | Yes |
| BMP | Yes |
| TIFF | Yes |
Parsable vs image-based PDFs
- Parsable PDFs contain selectable text (e.g., downloaded directly from a bank’s website). These process faster and with higher accuracy.
- Image-based PDFs are scanned documents where text is embedded as an image. These require OCR (optical character recognition) and may take longer to process.
Document types
Bank statements
Flinks Upload supports bank statements for:- Chequing accounts
- Savings accounts
- Credit card accounts
/GetAccountsDetail endpoint in the same format as data collected through Flinks Connect.
Void cheques
Flinks Upload also supports void cheque processing, which extracts:- Account holder name
- Institution number
- Transit number
- Account number