If you're a freight broker processing 30 BOLs a day, you're spending over two hours just on data entry. That's ten hours a week typing shipper names, consignee addresses, PO numbers, and weights that are already printed on the document sitting in front of you.
It's tedious, it's slow, and every keystroke is a chance to fat-finger a ZIP code or transpose a PO number. There has to be a better way — and there is.
The real cost of manual BOL entry
The obvious cost is time. A single BOL takes 3–5 minutes to key in by hand, depending on how many line items it has and how legible the scan is. Multiply that across every shipment you handle, and you've got a full-time data entry job hiding inside your operations workflow.
But the less obvious cost is errors. A mistyped consignee address can send a truck to the wrong dock. A wrong weight throws off your freight class and billing. A transposed PO number means your customer can't match the shipment to their purchase order, which delays payment to you.
These aren't hypothetical problems. If you've been in freight for more than a month, you've dealt with at least one of them.
What "digitizing" a BOL actually means
Digitizing isn't just scanning a paper BOL into a PDF. That gives you an image — you still can't search it, sort it, or pull data into your TMS without typing it in.
Real digitization means extracting the structured data from the document: shipper name and address, consignee name and address, carrier, SCAC code, PRO number, PO numbers, weight, piece count, freight class, pickup and delivery dates. Every field, pulled out and ready to use.
That's what document extraction tools do. You upload a BOL — PDF, photo from a phone, scanned TIFF — and get back all the fields in a structured format you can export or push into your systems.
How it works in practice
The process takes about 30 seconds per document. Upload your BOL, and the system reads it, identifies it as a Bill of Lading, and pulls out every field it can find.
Each field comes with a confidence score so you know what to trust and what to double-check. A clearly printed shipper name gets a high confidence flag. A smudged handwritten weight gets flagged for review. You're not blindly trusting the output — you're reviewing it, which is much faster than typing it from scratch.
Once you've reviewed the fields, you export the data however you need it. CSV for a spreadsheet. Excel for your accounting team. JSON if you're feeding it into another system. You can even set up export templates so the output matches exactly what your TMS or accounting software expects.
What about photos and bad scans?
This is where a lot of older tools fall apart. Traditional OCR chokes on photos taken at an angle, faded thermal prints, or handwritten additions. If your drivers are snapping photos of BOLs on their phone at the dock — which is how most small carriers operate — you need something that can handle messy real-world documents.
Modern extraction handles these cases because it doesn't just read individual characters. It understands the structure of a Bill of Lading — where the shipper block usually sits, what a PO number looks like, how weight fields are formatted. That context helps it pull accurate data even from low-quality images.
Does it get everything right 100% of the time? No. But the confidence scoring tells you exactly which fields to check, so you spend your review time where it matters instead of re-reading every line.
And when something does go wrong — say the system classified a rate con as a BOL — you can change the document type and re-extract for free. No credit charged. You can also edit any field directly, or just upload a better copy as a new document if the original was unreadable.
Getting started
The best way to see if this works for your documents is to try it with a real BOL. Sign up free on CargoParse — no credit card required. Upload a BOL and see the extracted fields with confidence scores.
If you want a walkthrough of the full process, check out our How To Use guide.
If you're also handling rate confirmations, see how to extract rate con data. And if data entry errors are costing you money, read about the real cost of BOL data entry mistakes.