How Much Does It Cost to
Extract 100 Invoices a Month?

The Baseline: What Does Manual Invoice Entry Actually Cost?

Before comparing tools, it helps to know the cost of the thing they replace. Industry benchmarks from Ardent Partners put the average cost of processing one invoice manually at $15–$16 — but that figure includes approval routing, exception handling, and payment execution across enterprise AP departments. For a small business that just needs vendor name, date, invoice number, line items, and total keyed into a spreadsheet or QuickBooks, the math is simpler.

An offshore virtual assistant doing invoice data entry charges $6–$10 per hour. At roughly 10 minutes per invoice — open the PDF, find the fields, type them into the right cells, spot-check the total — 100 invoices takes about 17 hours. That's $100–$170 per month for a human to do the work.

There's a hidden cost baked into manual entry that doesn't show up on the invoice from your VA: error rates run about 1.6% per invoice in manual processing. On 100 invoices, that's 1–2 entries per month with a wrong amount, a transposed digit in an invoice number, or a misread date. Each error takes 5–15 minutes to find and fix — if you catch it at all.

Five Tools, One Volume: 100 Invoices Per Month

Here's what each tool actually charges when you process exactly 100 single-page invoices in a month. All prices verified from public pricing pages as of June 2026.

The range is wider than most people expect: from $1 (Amazon Textract) to $180 (Nanonets pay-as-you-go). But the sticker price alone doesn't tell you what you're actually buying. Here's the breakdown for each tool.

ImageToTable.ai — $19/month

The Pro plan at $19/month includes 400 credits. One credit = one page. Processing 100 invoices uses 100 credits, leaving 300 for other document types — receipts, purchase orders, bank statements — or for next month if volume is lower. The effective cost per invoice is $0.0475.

ImageToTable.ai uses a vision large model (VLM) for extraction. You type the column names you want — "Invoice Number," "Vendor Name," "Due Date," "Line Item Description," "Amount" — and the AI locates each value on the page by understanding what it means, not where it sits. No templates to configure, no training samples to upload. A new vendor layout works on the first try because the model reads the document the way a human would. If you don't need the full Pro plan, pay-as-you-go pricing is $0.06 per image — $6 for 100 invoices — with no monthly commitment.

Other plan tiers: Basic at $9/month (150 credits) covers lower volumes. Max at $59/month (1,500 credits) fits teams processing 500+ documents across multiple types. For a fuller breakdown of how these tiers map to small business invoice volumes, see our dedicated guide.

Docparser — $39/month

Docparser's Starter plan costs $39/month for 100 parsing credits. One credit covers one document of up to 5 pages, so 100 single-page invoices consumes the full monthly allotment exactly. Effective cost: $0.39 per invoice.

The critical distinction: Docparser is template-based, not AI-driven. You define parsing rules by drawing zones on a sample invoice layout — marking where the invoice number sits, where the total appears, where line items begin and end. Each unique vendor layout requires its own template. If you receive invoices from 15 different suppliers, you build and maintain 15 templates. When a supplier updates their invoice format, you update the template. At 100 invoices from a small, consistent vendor set, this is manageable. At higher variety, template maintenance becomes a recurring time cost that doesn't appear on the invoice.

For higher volumes, Docparser's Professional plan ($74/month, 250 credits) or Business plan ($159/month, 1,000 credits) reduce the per-credit cost to $0.30 and $0.16 respectively.

Nanonets — $120–$180/month

Nanonets uses block-based pricing. Each step in a workflow — extracting data, classifying the document, formatting a field, posting to an integration — counts as one "block run." A complex AI block (the kind that handles invoice data extraction) costs $0.30 per run. Nanonets' own pricing page states: "A typical invoice processing workflow runs 4–6 blocks per document."

The math: $0.30 × 5 blocks (midpoint) = $1.50 per invoice. Times 100 invoices = $150/month. The range of $120–$180 reflects the 4-to-6-block variability depending on your workflow complexity.

Nanonets offers $200 in free credits for new accounts, which covers roughly 130 invoices at $1.50 each — enough for about one month of 100-invoice processing. After that, the pay-as-you-go cost kicks in. The Pro plan at $499/month (billed annually) includes volume discounts and advanced features like CRM/ERP integrations and custom Python blocks, but at 100 invoices per month, you'd be paying $4.99 per invoice — making the PAYG tier the only cost-rational choice at this volume. For a deeper comparison, see our Nanonets alternative analysis.

Amazon Textract — $1/month (Plus Developer Costs)

On raw API cost alone, Amazon Textract is the cheapest option by a wide margin. The Analyze Expense API — purpose-built for invoices and receipts — charges $0.01 per page. One hundred invoices = $1.00 per month. Even the more comprehensive Analyze Document API with Forms and Tables extraction costs $0.065 per page, or $6.50 for 100 invoices.

The asterisk is obvious: there's no user interface. You need a developer to build the integration pipeline — writing code to call the API, parsing the JSON response, mapping fields to your spreadsheet or accounting software, handling errors, and maintaining the system when AWS updates the API. You also need an AWS account, IAM permissions, and an S3 bucket for document storage.

For a business with an existing development team and AWS infrastructure already in place, Textract can be remarkably cost-effective at scale. For everyone else, the "cheapest" option comes with a build-it-yourself tax that doesn't appear on the pricing page.

Virtual Assistant Manual Entry — $100–$170/month

Hiring an offshore VA for invoice data entry runs $6–$10 per hour depending on the provider and the VA's experience level. At an average of 10 minutes per invoice for straightforward data keying — open, read, type, verify — 100 invoices requires roughly 17 hours of work. Total monthly cost: $100–$170.

The hidden costs: you spend time reviewing the VA's output, correcting errors (1–2 per 100 invoices at the industry-average 1.6% rate), and communicating about edge cases like handwritten notes, multi-page invoices, or unfamiliar currencies. You're also constrained by the VA's working hours and turnaround time. A batch of 20 invoices dropped on Friday won't be processed until Monday.

Manual entry remains viable for businesses that value human judgment on ambiguous documents — a VA can flag a suspicious duplicate or note that a vendor's address changed. But at 100 invoices per month, the economics already favor automated extraction.

What Changes at 50, 200, and 500 Invoices?

Pricing models behave differently at scale. Some tools have flat subscription costs that get cheaper per invoice as volume rises. Others charge linearly per document. The table below shows how the five options compare across four volume tiers.

Three patterns emerge from the scaling data:

Flat-rate tools get cheaper per invoice as volume grows. ImageToTable.ai Pro stays at $19 from 50 to 400 invoices. At 50 invoices, the effective per-invoice cost is $0.38. At 200, it's $0.095. At 400 (the plan's credit limit), it's $0.0475. The Pro plan only runs out above 400 invoices/month, at which point the Max plan at $59/month covers up to 1,500 — $0.039 per invoice.

Per-document pricing scales linearly. Nanonets PAYG and manual VA costs are directly proportional to volume. Double the invoices, double the bill. At 500 invoices, Nanonets PAYG reaches $600–$900/month — more than many businesses spend on rent for a small office.

Amazon Textract's API cost stays negligible at every volume — but the developer integration cost doesn't decrease per invoice. Whether you process 50 or 500 invoices, you still need the same pipeline code. The break-even point where Textract's total cost (API + developer time) beats a subscription tool depends entirely on how much the integration costs to build and maintain.

For a deeper dive into the subscription-vs-PAYG decision, see our pay-as-you-go vs. subscription comparison. For a broader look at how these tools fit the overall document extraction market, the 2026 pricing guide covers additional options beyond invoices.

What the Price Tag Doesn't Tell You

The monthly bill is the easy number. The harder number is the time you spend outside of the tool's extraction step — and that varies sharply between approaches.

Nanonets: block complexity. The $0.30/block price is simple. Knowing how many blocks your workflow uses is not. A basic extract-and-export flow runs 4 blocks. Add classification (is this a credit memo or an invoice?), a formatting step, and an integration push to your accounting software, and you're at 6–7 blocks. You won't know your exact per-invoice cost until you've built the workflow and run a test batch. For businesses evaluating options before committing, this unpredictability is the real cost.

Docparser: template maintenance. Creating one template takes 10–30 minutes depending on document complexity. A business receiving invoices from 20 vendors needs 20 templates. When a vendor updates their invoice layout — which happens when they change accounting software, rebrand, or restructure their terms — the template breaks and you rebuild it. At 100 invoices/month from a stable vendor set, this overhead is manageable. At higher variety, it compounds. The $39/month price doesn't include the hour you spend each quarter fixing broken templates.

Amazon Textract: integration debt. API pricing scales beautifully. Developer salaries don't. If your developer spends 20 hours building the initial pipeline at $75/hour, that's $1,500 in setup cost — equivalent to 79 months of ImageToTable.ai's Pro plan. Ongoing maintenance (API version updates, error handling, output format changes) adds a few hours per quarter. For a team that already has AWS infrastructure and developer capacity, this investment amortizes quickly at high volumes. For a small business without a technical team, it's a non-starter.

Manual VA: quality variance. VA pricing is straightforward, but output quality depends on the individual. A good data entry VA working with your invoice set for six months will know your vendor names, recognize recurring discounts, and catch anomalies. A new VA needs weeks to reach the same reliability. Turnover — common in offshore VA services — resets the learning curve and temporarily spikes your error rate.

Which Tool Fits Which Situation?

This isn't a ranking. The right tool depends on what you already have and what you're optimizing for.

For a broader comparison of invoice extraction tools in 2026 — including options not covered here like Rossum, ABBYY, and Lido — see our dedicated comparison guide. And for the full picture of affordable document extraction tools across all document types, not just invoices, the 2026 affordability roundup covers the landscape.

See How It Works on Your Own Invoices

Numbers on a page only go so far. The fastest way to evaluate whether an extraction tool handles your specific invoices — your vendors, your layouts, your field requirements — is to upload one and see. The demo below runs the same AI extraction engine as the full product. Drop an invoice, type the column names you want (try "Invoice Number," "Vendor," "Date," "Total"), and check the output.

FAQ

Does ImageToTable.ai charge extra for multi-page invoices?

Each page counts as one credit, regardless of how many pages are in a single document. A 3-page invoice uses 3 credits. At Pro pricing ($19/month, 400 credits), that's $0.1425 for a 3-page invoice — still under $0.15.

Can I use Amazon Textract without a developer?

No. Textract is an API service — there's no upload interface, no spreadsheet export button, no user dashboard. You write code (Python, Java, or Node.js) to send documents to the API and parse the JSON response. AWS offers a limited console demo for testing, but production use requires a custom integration.

What happens if I exceed Docparser's 100-credit limit mid-month?

Processing stops until you upgrade to a higher plan or wait for the next billing cycle. There's no automatic overage billing on the Starter plan. If your volume fluctuates between 80 and 120 invoices, you'd need the Professional plan at $74/month (250 credits) for buffer room.

Is Nanonets' $200 free credit enough to process 100 invoices?

At roughly $1.50 per invoice (5 blocks × $0.30/block), $200 in credits covers about 133 invoices — slightly more than one month at 100/month volume. After the credits are exhausted, pay-as-you-go pricing applies at the same per-block rate. The free tier is a one-time trial, not a recurring monthly allowance.

How does ImageToTable.ai handle invoices from vendors I've never uploaded before?

The same way it handles every other invoice. Because extraction is driven by the column names you define — not by templates or training data — a completely new vendor layout works on the first upload. The AI reads the document visually, understands the semantic meaning of each field, and maps it to your requested columns. No setup step, no "teach the model" phase.

The Bottom Line

At 100 invoices per month, the gap between free/cheap OCR and AI extraction is measured in minutes, not hours. But the gap between the cheapest AI tool ($6/month PAYG or $19/month subscription) and the most expensive ($180/month PAYG or $499/month subscription) is measured in hundreds of dollars — for roughly the same output. The difference is what else the tool does: workflow automation, ERP integration, custom code blocks. If you need those, you pay for them. If you just need invoice fields in a spreadsheet, you don't.

Try ImageToTable.ai on Your Invoices →