Axia Extract vs Rossum.

Both use AI rather than templates. The real difference is buy-in: Rossum runs on annual enterprise contracts starting around $18,000/year, while Axia Extract is usage-based with no minimum commitment.

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Side by side

Enterprise contract vs. usage-based pricing.

 RossumAxia Extract
Minimum commitmentAnnual contractNone, buy any credit amount
Entry pricingFrom $18,000/yearFrom ₱2,000 (~$32)
Self-serve signup
Published per-page pricing
AI-based, no template
Published accuracy benchmark
REST API
Free trial14 days

Rossum pricing and features per its public pricing page, checked September 2026. Business, Enterprise, and Ultimate tier pricing is not publicly disclosed. Rossum revises pricing periodically — confirm current terms before budgeting.

Benchmarked accuracy

98.2% field accuracy, published openly.

98.2%

Axia Extract — published SROIE2019 benchmark

Not published

Rossum — no public per-field benchmark

Benchmarked against SROIE2019, a public dataset of 347 real-world receipts. Rossum does not publish a comparable public per-field benchmark.

See the full accuracy report

FAQ

Axia Extract vs Rossum, answered.

How does Rossum's pricing compare to Axia Extract?
Rossum sells annual contracts starting around $18,000/year for its Starter tier, with Business, Enterprise, and Ultimate pricing disclosed only after a sales conversation. Axia Extract publishes per-credit pricing openly and has no minimum contract: buy credits from ₱2,000 (about $32) and pay as you use them.
Is Rossum a good fit for a small or mid-size team?
It can work, but the entry price point and annual contract are built for enterprise volume. Teams that want to test extraction on real documents before committing to a yearly spend usually start with a self-serve, usage-based tool like Axia Extract instead.
Does Rossum use AI or templates?
Rossum's Aurora Document AI is AI-based, not template-based, similar to Axia Extract's approach. The two mainly differ on pricing model and buyer size: Rossum targets enterprise deployments with custom workflows, Axia targets teams that want usage-based pricing with no annual lock-in.
Does Rossum publish accuracy benchmarks?
Not a public per-field number. Axia Extract publishes field-level results on the public SROIE2019 dataset: 98.2% average accuracy, 99.9% on financial totals.
Can I try Rossum before signing an annual contract?
Rossum offers a 14-day free trial. Axia Extract also offers a free trial, plus usage-based pricing after that, so testing on real volume doesn't require committing to a yearly contract first.

Related

Axia Extract vs DocparserAxia Extract vs NanonetsAxia Extract vs Amazon TextractPricing

No annual contract to start.

Test AI document extraction on your own documents without signing a yearly commitment first.

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Rossum vs Axia Extract, by buyer size.

Rossum and Axia Extract solve the same problem, AI-based document extraction without templates, but they're built for different buyers. Rossum's entry price and annual contract make sense once a finance or shared-services team is processing enough volume to justify a five- or six-figure yearly commitment, with the ERP integrations (SAP, Oracle, Workday) enterprise procurement usually needs already built in.

Diagram contrasting Rossum, which requires an annual contract, against Axia Extract, where you buy credits with no contract
One requires a contract. One doesn't.
Rossum's four subscription tiers
TierAdds
Starter (from $18,000/yr)Unlimited seats, email/API/upload ingestion, Aurora Document AI, 12-month archive
BusinessCustom workflows, master data matching, duplicate detection, ERP integrations (SAP, Coupa, Workday, Oracle)
EnterpriseSSO, document translation, sandbox environment, custom branding
UltimateMulti-document transactions, 3-year archive, embeddable UI

Business, Enterprise, and Ultimate pricing isn't publicly disclosed. Axia Extract's full credit rate is on the pricing page, the same rate whether you're on day one or year three.

Axia Extract targets the team that wants to start on real documents this week, not after a quarter of vendor evaluation. Credits are published on the pricing page and scale down as volume grows, so the same extraction engine serves a five-person AP team and a high-volume claims processing operation without a renegotiated contract in between. If schema shape is what's driving your cost estimate, our guide to model tiers shows how field count decides which credit rate applies.

Both tools return a confidence score and skip the key-value-pair mapping problem that plagues raw OCR. The deciding factor is rarely the AI itself, it's whether your organization is ready for an enterprise procurement cycle or would rather test extraction on a real invoice batch before any contract gets signed. For a look at another enterprise-only alternative, see how Axia compares to Hyperscience.