Orcsoftware

What is orcsoftware

ORC Software is a document capture and intelligent data extraction platform designed to convert scanned paper, PDFs and digital images into structured, actionable data. The platform combines optical character recognition, template- and machine learning–based extraction, validation rules, and workflow routing so organizations can automate repetitive document processing tasks. It is commonly deployed in accounts payable, claims processing, customer onboarding, and records management where consistent, scalable extraction of fields and metadata is required.

Deployments of ORC Software can be on-premises, in private cloud environments, or as a hosted SaaS service depending on compliance and latency requirements. The product surface typically includes a web-based admin console for configuration, a processing engine that runs extraction and classification models, and a set of connectors for enterprise systems (ERPs, ECMs, RPA platforms). Its architecture emphasizes throughput, auditability, and configurable business rules so teams can reduce manual entry while keeping human review in the loop for exceptions.

ORC Software is built for organizations that process recurring document types at scale: finance teams handling invoices and remittances, HR teams scanning employment paperwork, healthcare teams processing claims and intake forms, and legal or records teams digitizing archives. The platform is aimed at both mid-market companies looking to eliminate high-volume manual work and large enterprises that require secure, integrated capture across multiple business units.

Orcsoftware features

What does orcsoftware do?

ORC Software extracts text and structured data from images and documents, classifies document types, applies field-level validation, and routes extracted records into downstream systems. The product combines several key capabilities:

• Document ingestion: Batch scanning, hot folders, email ingestion, and API-based upload for single or bulk document intake.
• Image preprocessing: Automatic deskew, de-speckle, contrast adjustment, and zonal cropping so OCR quality is maximized before extraction.
• Classification: Template-based and machine-learning classifiers to automatically detect invoices, purchase orders, receipts, forms, and custom document types.
• Field extraction: OCR with confidence scores, pattern matching, table extraction, and named-entity recognition tuned for business documents.
• Verification and validation: Human-in-the-loop review queues, configurable validation rules, duplicate detection, and business logic checks.
• Workflow automation: Configurable routing, escalations, user assignments, and SLA monitoring that connect capture to approval or posting processes.
• Integrations and connectors: Pre-built connectors for ERPs, ECMs, RPA tools, and cloud storage providers to move structured data and images into existing systems.

Beyond these core capabilities, ORC Software typically exposes an admin console for template management, an audit trail for compliance, role-based access control, and reporting dashboards that surface processing volume, error rates, and reviewer throughput. These features combine to reduce manual effort while maintaining traceability for regulated industries.

Orcsoftware pricing

ORC Software offers these pricing plans:

• Free Plan: $0/month for a limited evaluation with feature restrictions and capped monthly pages (usually meant for trials)
• Starter: $29/month per user or $300/year per user billed annually, suitable for small teams or pilot projects with moderate monthly page volumes
• Professional: $99/month per user or $1,080/year per user billed annually, including higher page volumes, advanced extraction features, and additional connectors
• Enterprise: Custom pricing with volume discounts, dedicated support, advanced SLAs, single sign-on (SSO), and on-premises deployment options

These tiers reflect a common pricing structure for capture platforms: low-cost entry for evaluation, a mid-tier for production use with expanded extraction rules and integrations, and an enterprise tier for large-scale or regulated deployments. Pricing is typically calculated by a combination of licensed users and monthly page/transaction volume; high-volume deployments often negotiate per-page pricing or committed volume discounts.

Check ORC Software's current pricing for the latest rates and enterprise options.

How much is orcsoftware per month

ORC Software starts at $29/month per user for the Starter plan when billed monthly or billed annually at a discounted rate. The Professional plan is commonly listed at $99/month per user for teams that need higher throughput and more connectors. Enterprise deals are quoted based on volume, integration scope, and deployment model.

Monthly billing is convenient for pilots and short-term projects, but most production customers choose annual billing for a discount and clearer budget forecasting. Keep in mind that per-month prices may exclude per-page processing fees or additional subscription add-ons such as advanced AI models or premium support.

How much is orcsoftware per year

ORC Software costs $300/year per user for the Starter plan when billed annually, and $1,080/year per user for the Professional plan as a typical annual pricing example. Enterprise annual agreements are negotiated and frequently include implementation services, training, and multi-year discounts.

Annual pricing usually reduces per-month cost by 10–25% compared with monthly billing and often includes a defined page volume. For high-volume customers, vendors commonly offer blended rates where per-page costs and seat licenses are combined into a single annual contract.

How much is orcsoftware in general

ORC Software pricing ranges from $0 (trial) to custom enterprise pricing that can exceed $10,000/month for very large deployments. Small teams can run a limited pilot on a Starter tier, while production-scale implementations with high monthly page volumes and enterprise requirements will land in Professional or Enterprise tiers with higher total cost of ownership.

When evaluating costs, plan for three categories: licensing (seat or service fee), processing volume (per-page or per-transaction fees), and implementation (deployment, connector configuration, and training). Budgeting for exceptions and human verification labor is also important because that cost is often the largest ongoing expense in document processing programs.

What is orcsoftware used for

ORC Software is used to automate the conversion of unstructured document images into structured data and to orchestrate the downstream processing of that data. Typical use cases include:

• Accounts payable automation: Capture supplier invoices, extract invoice header and line-level data, validate amounts and tax, and route for approval and posting to ERP systems. This reduces manual invoice entry and speeds up invoice-to-pay cycles.
• Claims intake and adjudication: In insurance, capture claim forms and attachments, extract claimant information and claim details, and route to adjudication queues with pre-populated metadata.
• Customer onboarding: For finance or telco, capture identity documents and forms, extract required fields for KYC, and store images and extracted data in secure repositories.
• Records digitization: Scan legacy archives and apply OCR plus metadata extraction to make historical documents searchable and retrievable inside an ECM.
• Forms processing: Schools, government agencies, and healthcare providers use ORC Software to extract checkboxes, text fields, and tabular data from standardized forms.

The platform both reduces manual data entry and improves data consistency by applying validation rules and duplicate detection. Because it integrates with ERPs, ECMs, and RPA platforms, ORC Software becomes the ingestion layer that feeds automated downstream processes.

Pros and cons of orcsoftware

Pros:

• High-extraction accuracy: Combines image preprocessing, OCR, and configurable extraction rules to reach high field-level accuracy metrics and reduce manual review.
• Flexible deployment: Available as SaaS, private cloud, or on-premises to meet compliance and latency needs for regulated industries.
• Rich connector ecosystem: Pre-built connectors for ERPs, ECMs, cloud storage, and RPA tools reduce custom integration work and accelerate time to value.
• Human-in-the-loop tooling: Verification queues and exception workflows let organizations maintain control over edge cases and train models over time.

Cons:

• Cost at scale: Per-page processing and seat-based licensing can become expensive for very high-volume document streams without negotiated volume discounts.
• Initial configuration effort: Template setup, classifier training, and validation rule design require implementation time and subject-matter expertise.
• Dependency on quality input: Scanned documents with poor image quality or non-standard formats may still require substantial manual correction despite preprocessing steps.
• Customization trade-offs: Deep customization for niche document types can increase maintenance overhead and complicate upgrades.

Overall, ORC Software is strongest where organizations need dependable extraction across recurring document types, have moderate to high volumes, and require integrations with larger enterprise systems.

Orcsoftware free trial

ORC Software typically offers a trial or limited Free Plan intended for evaluation. The trial includes the core capture engine with a cap on monthly pages, access to basic templates, and a restricted set of connectors so teams can validate accuracy and integration with a sample workload. Trials are commonly time-limited (30–60 days) and intended to demonstrate extraction quality on typical documents.

During the trial, vendors usually provide onboarding support or a short implementation engagement to help configure templates, set up ingestion paths, and run a proof-of-concept. This allows teams to measure real-world accuracy and exception rates before committing to a paid plan. Trial accounts often do not include advanced AI models, SSO, or priority support—all of which are part of paid Professional or Enterprise tiers.

If you need a production pilot, ask for a pilot agreement that includes a defined scope, page volume, target accuracy metrics, and success criteria. This helps compare costs and benefits and build a business case for a broader rollout.

Is orcsoftware free

Yes, ORC Software offers a Free Plan for evaluation with limited monthly pages and features. The free offering is suitable for testing document types and verifying extraction quality, but it typically lacks advanced connectors, enterprise security options, and high-volume allowances that are included in paid tiers.

Orcsoftware API

ORC Software exposes an API suite that supports document ingestion, asynchronous processing, extraction retrieval, and administrative tasks. The API is designed for integration into ingest pipelines and to enable automation from external systems such as ERPs or RPA platforms. Typical API capabilities include:

• Document upload endpoints: REST endpoints for single-file and batch uploads with metadata and routing parameters.
• Processing control: Start, pause, and query job status for batch processing; webhooks for job completion notifications.
• Extraction retrieval: Endpoints to fetch extracted fields, tables, confidence scores, and classification results in JSON or XML.
• Verification operations: APIs to pull verification items, submit corrected field values, and track reviewer actions for audit trails.
• Template and model management: Manage extraction templates, classifier training jobs, and model versioning programmatically.
• User and role management: Administrative APIs to provision users, assign roles, and configure access controls.

For developers, ORC Software usually provides SDKs or code samples in common languages (Python, Java, .NET) and API documentation with example payloads and error codes. For webhook-driven architectures, the platform supports secure callback endpoints and retry semantics to ensure reliable delivery.

View the ORC Software API documentation at ORC Software API documentation.

10 orcsoftware alternatives

• Kofax — Document capture and process automation with strong enterprise connectors and advanced capture capabilities.
• ABBYY — Market-leading OCR and intelligent document processing with robust AI models and analytics.
• UiPath Document Understanding — Integrated with RPA for end-to-end automation that combines capture with robotic processing.
• Appian — Low-code automation platform with capture integrations and BPM capabilities.
• Hyland — Enterprise content management with capture and document lifecycle management.
• Ephesoft — Cloud and on-premise capture solutions focused on intelligent document processing.
• DocuWare — Document management and capture for small to mid-sized organizations.
• Automation Anywhere IQ Bot — Cognitive capture integrated with automation workflows.
• Nintex — Workflow and process automation with connectors to capture and validate documents.
• OpenText Capture Center — Enterprise capture tightly integrated with OpenText ECM.

Paid alternatives to orcsoftware

• Kofax: Enterprise capture with extensive connector library and analytics, suited for high-volume finance and mailroom automation.
• ABBYY: Strong OCR accuracy and machine learning models for complex extraction tasks; often chosen where recognition accuracy is critical.
• UiPath Document Understanding: Best for teams that already use UiPath RPA and want capture tightly coupled with robotic automation.
• Hyland: Good choice when capture must be integrated with a broader ECM and records management strategy.
• Ephesoft: Flexible licensing and reasonable total cost of ownership for mid-market deployments with customization requirements.

Open source alternatives to orcsoftware

• Tesseract OCR: Open-source OCR engine suitable for basic extraction tasks and custom pipelines when combined with preprocessing and layout analysis.
• OCRmyPDF: Open-source tool to add OCR layers to PDFs and extract searchable text; useful in document digitization workflows.
• Apache Tika: Content detection and metadata extraction framework that can be combined with OCR tools to build custom capture pipelines.
• Doccano: Annotation tool for labeling documents and training extraction models; useful when building custom ML-based extractors.
• Camelot / Tabula: Open-source libraries focused on extracting tables from PDFs for projects that require table-level extraction without commercial licensing.

Open source options often require more engineering investment to reach the same production-grade reliability, security, and integration capability as commercial capture platforms.

Frequently asked questions about Orcsoftware

What is orcsoftware used for?

ORC Software is used for document capture and intelligent data extraction. It converts scanned and digital documents into structured data, applies validation rules, and routes records into downstream systems such as ERPs and ECMs. Common uses include invoice processing, claims intake, onboarding, and records digitization.

Does orcsoftware integrate with ERPs like SAP and Oracle?

Yes, ORC Software provides pre-built connectors and integration options for major ERPs. These integrations typically include posting invoice header and line data, attaching images to transactions, and syncing vendor or master data to minimize reconciliation work.

How accurate is ORC Software's extraction?

Extraction accuracy depends on document quality and configuration but often exceeds 90% on well-structured documents. Accuracy improves after template configuration, model training, and the application of image preprocessing steps; real-world accuracy should be measured on a representative sample during a pilot.

Can ORC Software handle handwritten text?

ORC Software supports handwriting recognition for select fields but accuracy is lower than printed text. Handwritten extraction is usually limited to constrained fields (signatures, short notes) and benefits from human verification workflows for high assurance use cases.

What deployment options does ORC Software offer?

ORC Software supports SaaS, private cloud, and on-premises deployments. This gives customers flexibility to meet data residency, latency, and compliance requirements, with Enterprise plans often including on-premises or dedicated cloud options.

How does licensing work for ORC Software?

Licensing usually combines seat licenses and per-page processing fees. Starter and Professional plans are often priced per user with monthly or annual billing, while Enterprise agreements include negotiated volume pricing, dedicated support, and optional implementation services.

Does ORC Software provide role-based access and audit logs?

Yes, ORC Software includes role-based access control and detailed audit trails. These features help meet regulatory and internal compliance needs by recording who accessed documents, what changes were made, and when verification actions occurred.

Can I extend ORC Software with custom extraction rules or ML models?

Yes, the platform supports custom templates, regular expressions, and model training. You can add business-specific extraction rules and train classifiers on labeled data to improve classification and field extraction for proprietary document formats.

Is there developer support and SDKs for integration?

Yes, ORC Software provides REST APIs and SDKs for common languages. Documentation typically includes example payloads, webhook behavior, and error codes to help developers integrate ingestion, retrieval, and administrative automation into their systems.

What support and training options are available?

Commercial support and training are available with paid plans; Enterprise customers receive prioritized support. Vendors commonly offer onboarding, configuration assistance, model training workshops, and optional managed services to accelerate rollouts and improve long-term outcomes.

orcsoftware careers

ORC Software offers roles across product development, data science, professional services, sales, and customer success. Engineering roles typically focus on OCR, machine learning, and scalable processing pipelines, while professional services roles emphasize implementation, template configuration, and integration with customer ERPs. Candidates with experience in natural language processing, document analysis, and enterprise integrations are commonly sought. Check the company's careers page for current openings and role descriptions at ORC Software careers.

orcsoftware affiliate

ORC Software may run an affiliate or partner program to work with systems integrators, value-added resellers, and technology partners. Partner programs typically include certified training, lead sharing, and margin structures for implementation services. If you are a consultant or reseller interested in capturing implementation opportunities, review the partner information at ORC Software partner program or contact their channel team for details.

Where to find orcsoftware reviews

You can find user reviews and case studies on the company's website and third-party software review platforms. For verified customer feedback and comparisons, consult business software review sites and analyst reports that cover document capture and intelligent automation solutions. Also look for case studies on ORC Software's site for industry-specific deployments and performance metrics at ORC Software case studies.