Meet the Team
Research, testing, and honest documentation of computer vision and OCR technology for Montreal bookkeepers
Invoice processing is a real bottleneck in accounting workflows. We're not here to sell you software or promise magic. We're here because bookkeepers deserve straightforward information about what computer vision and OCR can actually do.
Every guide we publish starts with a question from someone in the field. We research the topic thoroughly — testing tools, reviewing documentation, gathering real examples — before we write a single word. We check technical claims against current capabilities. We update our content when methods change. And we explain things clearly, without unnecessary jargon.
We believe automation should be transparent and accessible. Not hype. Not theory. Just practical, honest help for the people who process invoices every day.
Our process ensures every guide is reliable and current
We start by listening to actual bookkeepers about what they're trying to solve. Then we dig into the topic — testing tools, reading technical docs, examining real invoices, and checking how different extraction methods perform in practice.
We don't publish claims without backing them up. Every technical detail gets checked against current software capabilities. We test workflows ourselves when possible. If something's changed since last time, we catch it.
We write for bookkeepers, not for other tech writers. That means no unnecessary jargon, concrete examples, and honest assessment of what works and what doesn't. Every guide goes through review before it's published.
Software changes. New tools appear. Best practices evolve. We review our content regularly and update it when the landscape shifts. You'll always find current information here.
Topics we write about regularly
How computer vision actually works for document analysis. What it can and can't do. Why accuracy varies. The real capabilities versus marketing claims.
Optical character recognition explained. What affects OCR accuracy. How to evaluate OCR tools for invoice work. Common issues and how to handle them.
How AI models learn to extract invoice data. Training on your documents. Model accuracy and reliability. When AI parsing makes sense versus traditional extraction.
Setting up extraction tools in your workflow. Integration with accounting software. Managing different invoice formats. Quality control and error checking.
How extraction tools perform on actual invoices. Cost-benefit analysis. Time savings versus accuracy trade-offs. Case studies from Montreal accounting practices.
Reviews of extraction software. Comparison of different approaches. Pricing models. What features actually matter for bookkeepers. Honest assessment of strengths and limitations.
We don't hide limitations. We explain what works, what doesn't, and why. You get the full picture — not just the selling points.
Software changes fast. We update our content regularly so you're always working with current information, not outdated guides.
Theory is fine, but you need actionable information. We focus on what you can actually use in your accounting workflow today.
No hype. No overselling. We tell you what computer vision and OCR can genuinely do for your practice, without exaggeration.
Practical articles we've published
July 8, 2026
OCR accuracy is a number that sounds simple until you actually try to use it. We break down what accuracy percentages really mean, why they don't tell the whole story, and how to evaluate whether a tool will work for your specific invoices.
July 5, 2026
Ready to implement extraction software? This guide walks through the actual steps — from initial setup to integration with your accounting software to quality control checks. No theory. Just how to get it running.
July 2, 2026
Every vendor formats invoices differently. We examine real invoice variations you'll encounter and explain why some formats are harder for extraction tools to process. Understanding this helps you plan better.
June 29, 2026
AI parsing isn't new, but adoption is accelerating. We look at what's driving the shift, how AI-based extraction differs from traditional OCR, and what you should consider before making the switch.
Questions about our guides or topics you'd like us to cover?
We read every message. If you've got questions about invoice automation, topics you'd like us to research, or feedback on our guides — we'd like to hear it.
Contact us