Zero setup, zero training
No templates, no labeled data, no schema files. Drop the document in and Docusift returns clean structured data.
Scanned Documents extraction
Extract Text from Scanned Documents
Pull every text value out of any scanned documents — including scans and multi-page variants — into clean structured JSON. Each value carries a confidence score and a citation back to its source pixel.
Pulling text out of a document by hand is slow, and it is exactly where a mistake slips through. A PDF, scan, or photo carries its data as pixels arranged for a human eye, not as rows a spreadsheet can read. Copy-paste scrambles multi-column layouts, tables lose their structure, and a scan has no selectable text at all — so the data gets re-keyed by hand.
Docusift reads the document visually — running OCR, layout analysis, and extraction in a single pass — and returns every field, table, and total as clean structured data, whether the input is a native PDF, a scan, or a phone photo.
Each extracted value ships with a per-field confidence score and a citation back to the exact spot on the page it was read from, so low-confidence text route to review automatically — and the clean data pushes to Google Sheets, a webhook, QuickBooks, or Xero.
Example: a document as typed structured JSON
{
"document_type": "detected_automatically",
"pages": 2,
"tables": [
{
"columns": ["Description", "Qty", "Unit price", "Amount"],
"rows": [
["Steel bracket, 40mm", "120", "2.15", "258.00"],
["Powder coat finish", "120", "0.60", "72.00"]
]
}
],
"confidence": 0.98
}Why teams choose Docusift
A confidence score on every field
Every value ships with a confidence score and a citation back to the source pixel in the original document, so low-confidence fields route to review instead of landing unchecked.
Fast turnaround
Seconds per document, not minutes. Built for production pipelines, not batch jobs.
Privacy first
Workspace-isolated processing, encrypted in transit and at rest, and one-click data deletion.
Frequently asked questions
How do I extract text from scanned documents?
Upload the scanned documents to Docusift via the dashboard, the REST API, or by emailing it to your workspace inbox. Docusift returns structured JSON with every text value, its confidence score, and a citation back to the source pixel — typically in under a second per page.
What is the best way to pull text from scanned documents automatically?
The best way is a tool that reads layouts visually rather than matching templates. Template tools break when a vendor changes their format; Docusift parses each scanned document from scratch, so it works on multi-page, multi-currency, and scanned variants without per-vendor configuration.
Does it work on scanned scanned documents?
Yes. OCR, layout analysis, and field extraction run in a single pass, so scans, mobile photos, and native PDFs use the same endpoint and reach the same accuracy bar.
Can I push the extracted text into my own system?
Yes. Receive structured JSON via REST, hit a webhook, or sync directly into Google Sheets, your data warehouse, or your accounting tool.
How accurate is Docusift at extracting text?
Docusift reads each scanned document visually rather than matching a template, and every extracted value ships with a per-field confidence score and a citation back to the source pixel — so low-confidence text route to human review automatically instead of landing unchecked.
Do I need to train a model first?
No. Docusift recognizes hundreds of document types out of the box. Custom fields are configured with a single sentence — no labeled training data required.
How is pricing calculated?
Pay per page processed. There is a free tier for evaluation and volume discounts for production workloads. No seat fees.
Can Docusift handle scanned or photographed documents?
Yes. The pipeline runs OCR + layout analysis + extraction in one pass, so scans, mobile photos, and native PDFs all flow through the same endpoint.
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