OpenRecon

OpenRecon is a transaction-reconciliation tool for teams that work with processor CSVs and an internal ledger. It is best suited to technical finance, payments, and engineering teams that can use Python or command-line workflows. Its focused matching and local execution make it a practical choice for simple checks, but its two-file scope rules it out for more involved settlement work.

Overview

OpenRecon compares payment processor or gateway transactions with an internal ledger and flags mismatches and missing transactions. It first looks for shared IDs or references, then compares unmatched rows by amount, currency, and date window. That two-stage approach gives straightforward reconciliations a clear path from exact references to broader matching, while Python Decimal arithmetic avoids floating-point handling of monetary amounts.

The maker says the tool runs locally without network calls, so transaction files remain on the user's computer. That suits teams seeking a local workflow, especially those who want reconciliation inside internal tools. The trade-off is a narrow input scope: it accepts two CSV files, and more complex cases such as many-to-one matches, multi-currency settlement, refunds, and chargebacks are planned rather than supported.

Key features

Processor presets and mapping

Presets cover Stripe, Adyen, PayPal, Razorpay, Braintree, and Square. Column auto-detection can reduce setup for familiar formats, while explicit mapping gives users a way to align other CSV columns. This is useful for teams handling those processor exports, though it does not remove the need to prepare a two-file reconciliation.

CLI and library workflows

OpenRecon provides both a command-line interface and a Python library, with console summaries and optional JSON or CSV reports. Its CLI returns a non-zero status when discrepancies are present, making it suitable for scheduled checks and CI workflows that need a clear pass-or-fail signal. Python 3.9 or later is required, and the maker says no dependencies beyond the standard library are needed.

The maker invites contributions and ideas on GitHub, including pull requests for additional processor presets. That offers teams a route to contribute a format they need, but it is not a substitute for built-in handling of the more complex reconciliation cases still planned.

Pricing

OpenRecon's Free plan costs nothing. There is no paid tier or account requirement, and the software is released under the MIT license. There is no free trial; with no paid plan, there is also no upgrade tier to compare. This makes it a straightforward option for teams that can work within its two-CSV scope, rather than a low-cost entry point to a broader paid product.

Platforms

OpenRecon is offered as an API and self-hosted software. Its Python library and CLI suit teams incorporating reconciliation into scripts or internal systems; Python 3.9+ is the stated requirement. The local, no-network-call approach may appeal to teams that want files to stay on their own computers.

Who it's for

OpenRecon suits payments, finance and accounting, engineering and operations teams, marketplaces, and audit teams with simple two-file reconciliation needs. It also fits developers embedding checks in internal tools or automating them in scheduled and CI workflows. Teams handling several files, complex settlement relationships, refunds, or chargebacks should look for a tool that supports those cases.

Pros and cons

• Pros: No-cost use, no account, and an MIT license make it accessible to teams that can host and operate it themselves.
• Pros: Local processing and Decimal-based amounts support a workflow that keeps files on the user's computer and avoids floating-point arithmetic for money.
• Pros: Presets for six processors, plus automatic detection and explicit mapping, offer practical options for matching CSV columns.
• Pros: A CLI, Python library, and discrepancy-dependent exit status make it adaptable to scripts and CI checks.
• Cons: Reconciliation is limited to two CSV files, constraining work that spans multiple sources.
• Cons: Many-to-one matching, multi-currency settlement, refund and chargeback handling, and HTML reports remain planned improvements.
• Cons: The Python 3.9+ requirement and command-line or library orientation are a poor fit for readers seeking a conventional hosted interface.

Alternatives

For a wider view of the category, browse Account Reconciliation Software.

• SahiSay Reconciliation is worth considering for readers who want Android, iOS, web, or Windows access: its free plan includes five reconciliations per day, unlimited transactions per file, and PDF export, and it offers a trial.
• Settler may suit teams seeking a different self-hosted or API option: its Open Source plan includes 10,000 monthly reconciliations, local evidence and replay traces, and community support, and it also offers a cloud API and a trial.
• speedRecon is an option for readers who prefer a web app and can work within its free plan's three reconciliations per month and 300 rows per file.
• FIS Data Integrity Manager is a paid web-based alternative.
• BankRecon is a paid web alternative with a free trial; its Standard plan covers one to three entities, three to ten bank accounts, and approximately 10,000 transactions per month.
• Eko Recon is another free option, available across API, self-hosted, web, and Windows platforms, with custom pricing.
• OneCap is a paid web option with a free plan and a Starter plan for limited transaction volumes, payables and receivables ledger reconciliation, custom business rules, an AI Assistant, Excel reports, and email support.
• Serrala PSP Reconciliation is a paid alternative available through API and web platforms.

Verdict

Choose OpenRecon if your team wants free, locally run reconciliation of two CSV files and can use Python, a CLI, or a library to fit it into existing work. Its processor presets, precise monetary arithmetic, and automation-friendly exit status are strong advantages for focused checks. Look elsewhere if your reconciliations require multiple inputs, complex settlement matching, refunds, or chargeback handling.