GetBankStatement vs Nanonets

The GetBankStatement Team · August 23, 2026 · 10 min read

GetBankStatement vs Nanonets is a focused converter versus an intelligent document processing platform. GetBankStatement is better for clean text-based bank statement PDFs, browser upload, Excel/CSV/JSON/QBO output, validation signals, public page pricing, and 24-hour deletion. Nanonets is better for scanned/image inputs, OCR APIs, email intake, integrations, custom workflows, and enterprise security needs.

Disclosure: this comparison is published by GetBankStatement. Research was last verified on August 23, 2026 from first-party Nanonets product, bank-statement OCR, pricing, API documentation, security, privacy, DPA, terms, and GetBankStatement product sources. We did not run a private hands-on benchmark against customer bank statements for this article.

The primary query is GetBankStatement vs Nanonets. This page compares GetBankStatement with Nanonets at nanonets.com and app.nanonets.com, not DocuClipper, MoneyThumb, ProperSoft, BankStatementConverter.com, or a generic PDF-to-Excel utility.

Which product should you choose?

Choose GetBankStatement when your job is narrow: upload a clean, selectable-text bank statement PDF, export Excel, CSV, JSON, or QBO, check validation signals, and avoid long-lived file retention. It is the cleaner first test for one-off lender packets, tax prep, month-end cleanup, and small-business reconciliation when scanned statements are not part of the workflow.

Choose Nanonets when bank statements are one document type inside a larger automation system. Nanonets is stronger when you need OCR for scans or images, API-driven extraction, email intake, cloud connectors, review loops, custom fields, ERP/accounting exports, data residency or enterprise controls, and a configurable workflow instead of a single-purpose converter.

The practical split is scope. GetBankStatement is narrower and easier to reason about for standard text PDFs. Nanonets is broader and more configurable, but that breadth means pricing, setup, and validation should be estimated around your actual workflow blocks and document mix.

Where GetBankStatement wins

GetBankStatement wins on focused conversion. A user who already has a normal text-based statement PDF does not need to create OCR models, configure workflow blocks, choose integration paths, or plan an automation architecture before testing whether statement rows can become a usable spreadsheet.

It also wins on simple public pricing for this use case. GetBankStatement prices by pages: $30/month for 650 pages, $60/month for 1,250 pages, and $99/month for 4,250 pages, with annual plans also public. That is easier to estimate when the unit of work is statement pages.

GetBankStatement's retention promise is also simpler. Uploaded files and generated outputs are deleted within 24 hours. Anonymous users can preview 1 processed text-PDF page every 24 hours, one-page text PDFs convert fully, and registered free users can convert up to 5 text-based PDF pages every 24 hours.

The limitation is real. The anonymous workflow excludes scanned statements, image-heavy PDFs, OCR-only files, password-protected documents, bulk upload, API access, and webhook delivery. If those are core requirements, Nanonets deserves a serious look.

Where Nanonets wins

Nanonets wins on OCR and automation breadth. Its bank-statement OCR page says Nanonets can extract bank-statement data from emails, handle snapped pictures, process scanned PDFs, digital files, and images, and extract fields such as account holder name, account number, bank name, statement period, starting balance, deposits, withdrawals, ending balance, and interest earned.

Nanonets also wins when engineering integration matters. Its OCR API docs describe Basic-auth API access, JSON responses, OCR prediction APIs, sync and async prediction, local file uploads, and file URL inputs. Pricing pages list API access, email integration, cloud storage connectors, database/document-management export, QuickBooks/Sage/Xero export, and enterprise connectors.

Security and enterprise options are another Nanonets advantage. First-party Nanonets pages claim SOC 2 compliance, ISO/IEC 27001 certification, SOC 2 Type I and Type II reports available after NDA/request, SAML SSO and SCIM on Enterprise, role-based access, audit logs, data residency options, and private cloud/on-prem deployment for enterprise customers.

How do pricing and free limits compare?

GetBankStatement has page-based pricing. The question is mostly how many statement pages you convert each month: 650 pages for $30/month, 1,250 pages for $60/month, or 4,250 pages for $99/month. Annual plans are $180/year, $360/year, and $599/year for higher annual page pools.

Nanonets has workflow-block pricing. On August 23, 2026, its pricing page said every account starts with $50 in free credits and no card required, then $100/month for 100 credits. It says simple operations cost $0.02/run, standard AI costs $0.10/run, and complex AI such as data extraction or generative AI costs $0.30/run. A complete workflow can use multiple blocks per document.

That difference matters. For a simple statement-to-spreadsheet job, page pricing is easier to forecast. For automated intake, classification, OCR, validation, formatting, lookup, export, and exception review, Nanonets' block model can be more flexible, but you should estimate it with a representative workflow and not just a headline monthly price.

How do OCR, scans, and images change the decision?

OCR is the clearest reason to start with Nanonets. Its first-party bank-statement OCR material describes extraction from scanned PDFs, digital files, and images, and explains that AI/ML can interpret varied bank layouts, transaction tables, and imperfect scanned inputs. It also frames human validation as part of continuous model improvement.

GetBankStatement should be chosen only when that limitation is acceptable. Its anonymous free flow is for text-based PDFs, not scans, photos, screenshots, image-heavy statements, OCR-only files, or password-protected documents. If your intake often includes client scans or phone photos, Nanonets is the stronger first product to evaluate.

How do API and integrations compare?

GetBankStatement does not currently verify public customer-facing API access, webhook delivery, or bulk upload. Do not choose it because you assume those features are live.

Nanonets publishes API and integration evidence. The API overview describes OCR Predict APIs for local files and hosted file URLs, including async prediction for documents with more than 3 pages. Pricing and unit-cost docs include API access, email import, Google Drive, Dropbox, SharePoint, OneDrive, database/document-management exports, API export, and accounting-system export blocks.

How do privacy, retention, and security compare?

GetBankStatement's privacy promise is narrow and easy to cite: uploaded files and generated outputs are deleted within 24 hours. That is useful when browser conversion is acceptable but users do not want long-lived statement storage.

Nanonets has a broader enterprise privacy and security model. Its privacy notice applies to its website, app subdomains, software applications, integrations, and third-party-platform apps. It says customer documents are not used for marketing, Google user data is not used to train generalized AI/ML models, and personal information is kept as long as necessary unless law requires more. Its terms also say Customer Data may be retained for up to 30 days after an order ends.

Nanonets publishes stronger security-program claims than GetBankStatement currently makes. The Nanonets security page describes AWS/GCP infrastructure, TLS/SSL, AES-256 encryption at rest, audit logs, incident response, SOC 2 compliance, ISO/IEC 27001 certification, and SOC 2 Type I and II reports available after NDA/request. This article records those as first-party claims, not independent audit verification.

How should accountants and bookkeepers decide?

Use GetBankStatement when the files are clean text-based bank statement PDFs and the target output is Excel, CSV, JSON, or QBO. It fits small batches, lender packets, tax support, reconciliation, and one-off cleanup where browser upload and 24-hour deletion are acceptable.

Use Nanonets when the firm is solving intake and operations, not just one conversion. It is a better fit for scanned statements, email-forwarded documents, API-backed workflows, custom review queues, integrations with accounting or database systems, and teams that want bank statements handled alongside invoices, receipts, IDs, or other document types.

What claims should you test yourself?

Do not buy either product based on broad accuracy language alone. Nanonets discusses AI, machine learning, OCR, self-learning, and high straight-through processing on first-party pages; GetBankStatement emphasizes validation and degraded states. Those claims are not a substitute for testing your own statement formats.

Before importing output into accounting software, check row counts, dates, descriptions, signs, credits, debits, running balances, beginning and ending balances, duplicate page-break rows, missing check numbers, fees, refunds, transfers, and whether QBO or accounting-system output imports cleanly without manual repair.

Methodology and first-party sources

We reviewed first-party public sources on August 23, 2026. We used Nanonets homepage, bank-statement OCR page, pricing page, OCR API page, API docs, unit-pricing docs, security policy, privacy policy, DPA page, terms of service, and GetBankStatement product/pricing/LLM context. We did not invent hands-on benchmarks, unsupported GetBankStatement OCR/API/bulk features, Nanonets private pricing, Nanonets password-PDF support, accuracy figures, parser coverage, or independent security verification.

• Nanonets homepage - Current product positioning as AI agents for enterprise data processing, free-start CTA, customer/enterprise positioning, and contact details.
• Nanonets bank-statement OCR - Bank-statement OCR workflow, email extraction, scanned/digital/image input language, extracted fields, API-friendly language, and FAQ evidence.
• Nanonets pricing - Current free credits, Starter, Growth, Enterprise, block-run pricing, API/email/cloud connectors, support tiers, security controls, and data residency language.
• Nanonets OCR API - API-language samples, free API key path, pretrained OCR models, bank statement model listing, and demo/contact routes.
• Nanonets API overview - Base URL, authentication, JSON responses, OCR prediction APIs, sync/async prediction, local files, file URLs, and training APIs.
• Nanonets base price per unit - Per-run pricing for data extraction, classification, formatting, imports, data lookup, exports, and enterprise/premium integrations.
• Nanonets security policy - Infrastructure, encryption, audit logs, incident response, SOC 2, ISO/IEC 27001, and payment-processing security context.
• Nanonets privacy policy - Privacy scope, personal data handling, Google user-data commitments, service providers, retention, DPF, and security safeguards.
• Nanonets DPA - Data Processing Agreement availability and enterprise customization note.
• Nanonets terms of service - Trial/no-fee access, customer-data ownership, derived data, support, order, renewal, and post-order customer-data retention framework.
• GetBankStatement bank statement PDF to Excel page - Text-PDF workflow, export formats, validation, free test, and 24-hour deletion.
• GetBankStatement full LLM context - Current product truth, free limits, pricing, export formats, privacy, retention, validation philosophy, and comparison cluster context.

Bottom line

GetBankStatement is the better first test for clean text-based bank statement PDFs when you want browser conversion, Excel/CSV/JSON/QBO output, validation signals, public page pricing, and 24-hour deletion. Nanonets is the better fit for scanned/image statements, API-backed OCR, email intake, integrations, configurable validation workflows, and enterprise security or deployment needs.

If your current file is a normal text-based PDF and you want a quick browser result, try GetBankStatement and validate the rows. If your organization needs OCR automation, API orchestration, cloud connectors, or document workflows beyond bank statements, evaluate Nanonets first.

Convert a bank statement PDF to Excel with a free text-PDF test, validation, and 24-hour file deletion.