Convert paper files, registers, forms, correspondence and archive collections into structured digital records with an agreed capture specification, OCR, metadata, quality review and handoff format.
Final scope, handling model, turnaround and pricing are confirmed after the collection profile and required outputs are reviewed.
Government records vary too widely for a credible one-rate-fits-all promise. Public pricing for basic scanning is commonly quoted per page, but preparation, bound or fragile materials, OCR, indexing, quality requirements and controlled handling can materially change the work. Rudrriv therefore confirms pricing after reviewing the collection specification.
For departments that need to validate capture quality, OCR, naming, metadata and handoff before committing a larger backlog.
For a known collection with reasonably consistent records, defined metadata fields and an agreed digital delivery structure.
For mixed record series, legacy backlogs, bound or fragile material, oversized content, several stakeholders or staged repository handoff.
Share the approximate volume, record types and intended digital output. We can use that information to identify whether a pilot, production batch or wider program is the right starting point.
The useful digital object must fit the record’s lifecycle: how it is identified, searched, retained, reviewed, disclosed, transferred, preserved or eventually disposed of. That makes record status, metadata, image quality, file structure and validation more important than a basic scan-to-PDF workflow.
A collection may contain permanent and temporary records, different retention periods, bound registers, annotated forms, maps, correspondence, case files and records with different access sensitivities. Those differences should shape preparation, capture and handoff.
A government digitization workflow is strongest when each stage has a defined input, output and acceptance point. The exact sequence changes for fragile material, oversized formats, on-site work or system migration.
Identify record series, volume, sizes, condition, bindings, sensitivities, retention context and desired use.
Define ordering, separator logic, staple or binding treatment, exception handling and any page-level notes.
Set colour mode, resolution, cropping, orientation and output rules appropriate to the record and required use.
Create searchable text when requested, while recognising that source quality and layout affect OCR accuracy.
Apply agreed file names, document boundaries and metadata values from customer rules or source records.
Check completeness, legibility, file structure, naming, metadata and OCR according to defined acceptance criteria.
Re-scan, re-index or correct exceptions identified during validation without changing the approved scope silently.
Deliver the agreed file package, index export and batch structure for review, storage or downstream repository work.
A single department can hold records with very different document boundaries, search fields and preservation needs. The project specification should describe how each record type becomes a digital object.
Often need folder/file identity, internal document separation, dates and consistent ordering so a digital case remains understandable.
May require form type, applicant/reference number, date and status fields, with OCR used mainly for retrieval rather than data extraction.
Need a capture method that protects binding and preserves page sequence; metadata may apply to the whole volume or selected entries.
Can benefit from meeting date, agenda item, body/committee and document type fields, plus a clear file hierarchy for retrieval.
May contain mixed invoices, approvals, bids and correspondence; document boundaries and naming need to reflect the customer’s retention and access model.
Require separate equipment and quality decisions; standard A4 sheet-fed assumptions should not be applied to oversized or detailed material.
Activities and deliverables are kept separate so procurement teams and operational stakeholders can see exactly what is being bought and what remains dependent on customer decisions.
Format selection should follow the public body’s records requirements rather than habit. The following are common possibilities, not a promise that every project needs every format.
Convenient access copy with OCR text when required.
Preservation-oriented PDF profile when specified by policy.
Lossless image masters for workflows that require them.
Metadata handoff aligned to agreed field names and values.
Text or structured metadata output where a downstream system needs it.
For large government backlogs, a small ambiguity in document boundaries or metadata rules can become a large correction exercise later. A pilot or representative sample helps expose those issues early.
These are common situations that can trigger a digitization project. They are not fabricated client case studies and do not imply a guaranteed outcome.
Convert accumulated boxes into structured digital batches to support retrieval, review and records-program decisions.
Add OCR and metadata so authorised staff can locate records without relying solely on physical folders or manual page-by-page search.
Digitize selected record series before moving facilities, closing storage locations or consolidating departmental archives.
Prepare digital files, naming and metadata for a later records-management, document-management or archive ingestion process.
Create usable digital surrogates of bound registers or historical administrative volumes where physical handling limits access.
Apply common capture, naming and metadata rules across departments while preserving record-series differences where needed.
The process uses natural checkpoints rather than a one-size-fits-all production line. Larger programs may repeat the production and acceptance stages for each batch.
Volume, record types, condition and constraints.
Outputs, metadata, QA and handling rules.
Representative sample and issue resolution.
Prepare, capture, OCR and index in batches.
Validate against the agreed acceptance rules.
Deliver structured files and agreed index package.
A credible delivery plan is set after representative volume and complexity are understood. A sheet-fed loose-paper batch and a fragile bound-register collection should not share the same production assumption.
Projects can be scoped for common paper-based public-sector materials such as case files, correspondence, forms, registers, permits, procurement files, committee papers, reports and other administrative records. Bound, fragile, oversized or mixed-format collections require a specific handling plan.
OCR can be included when searchable text is useful. The required OCR depth should be agreed during scoping because handwriting, poor originals, tables, stamps, multilingual content and unusual layouts can affect recognition quality and review effort.
Yes, searchable PDF can be an agreed delivery format. Where long-term preservation requirements apply, a suitable PDF/A profile or other archival format should be specified by the customer or the applicable records policy before production begins.
Yes, image-master formats such as TIFF can be included when the project specification requires them. Access copies, searchable PDFs, JPEG or PNG derivatives and metadata files can also be scoped separately.
Indexing can use agreed fields such as record series, file number, title, date, department, document type or other customer-defined metadata. The final field list, naming rules and validation method should be confirmed before production.
Where a project is subject to those requirements, the applicable specification can be used as a customer-defined project requirement. Rudrriv does not represent that every digitization project is automatically FADGI-conforming or NARA-compliant; the responsible public body must identify the rules that apply to its records.
Not always. For U.S. federal records, NARA distinguishes requirements for temporary and permanent records. Other jurisdictions may use different rules. Record status and retention requirements should therefore be established before the scanning specification is finalized.
Rudrriv does not determine legal disposition. The public body should retain or dispose of source records only after its authorized records-management, legal and compliance process confirms that the applicable digitization and validation requirements have been met.
These materials are scoped separately because preparation, capture method, page handling, lighting, scanner type and quality checks may differ from standard loose-sheet scanning. A representative sample is useful before confirming the production approach.
Typical checks can include page completeness, orientation, cropping, legibility, file naming, document boundaries, image quality, metadata accuracy and OCR sampling. The exact acceptance criteria and sampling level should be documented for the project.
Yes, the handoff can be structured around an agreed folder hierarchy, file-naming convention and metadata export. Direct import or integration into a records, document-management or archive platform is a separate technical scope unless explicitly included.
Useful inputs include estimated page or box volume, record types, sizes, condition, bindings, color requirements, OCR needs, metadata fields, target formats, repository requirements, handling constraints, location, deadline and any applicable records standards.
Public-sector collections vary widely in volume, document condition, preparation effort, indexing depth, quality requirements, handling restrictions and delivery specifications. A custom quote avoids applying a basic per-page rate to work that may require materially different processing.
Turnaround is confirmed after volume and complexity are assessed. Preparation effort, scanning method, OCR and indexing depth, quality-control level, stakeholder approvals, transfer logistics and staged delivery requirements all affect the schedule.
Yes, staged batches can be useful for large backlogs or multi-department programs. Batch size, acceptance checkpoints, naming conventions and handoff frequency should be agreed before production.
Rudrriv reviews the collection profile, required outputs, handling constraints and timing. Clarification or a sample may be requested before scope, pricing, delivery expectations and the next engagement step are confirmed.
Email ID, Phone and Requirement Details are required. Name is optional.
