Government · Document digitization
A records room full of paper is every downstream system's bottleneck
Banao converts government paper files — land registers, scheme applications, court case files, birth and death records, RTI responses — into a structured, searchable database. Staff find the right file in seconds instead of walking the records room.
Digitization is also the opening step that makes every later AI project possible. A citizen chatbot, a fraud detector, and a grievance router all need a database to work on. We sequence it that way and say so on day one.
What the digitization project delivers
A records project is more than scanning. We own the data pipeline end to end — from the stack of folders on the shelf to a validated, structured database your next system can query.
OCR and handwriting extraction
Typed forms, printed registers, and cursive handwriting in English, Hindi, regional scripts, and mixed-language documents — all converted to machine-readable text. We validate field by field against your schema, not batch-convert and hand over errors.
Document classification and filing
Mixed-document stacks sorted automatically by type — application, certificate, case order, correspondence — and filed into the right folder in the database, so the output is not a pile of images but an organised records system.
Data validation and quality gates
Each extracted record is checked for completeness, date format, identifier consistency, and mandatory fields. Records that fail the gate are flagged for human review rather than silently corrupting the database.
Plain-language search across records
Once records are structured, staff search by name, date range, parcel number, scheme, or any field — in plain language — and get the right file in seconds. No specialist query language, no records-room visit.
Audit trail and access controls
Every record carries a digitization timestamp, a source document reference, and a version history. Access is role-based — a counter clerk sees the applicant file; an auditor sees the processing log.
On-premise or sovereign-cloud deployment
Citizen data stays inside your network. We deploy on-premise or in a government-designated cloud according to your data-residency rules. Nothing transits a commercial public cloud unless you specify otherwise.
We run our own records on the same infrastructure
Banao manages a ~300-person engineering company on its own AI. InterviewGod processes every hire application from intake to decision — that is a structured data pipeline with documents, scoring, and an audit trail, running daily on our own operations.
The document-processing logic we bring to a government records room is not a proof of concept — it is a variant of what keeps our own hiring desk organised. We know what breaks under volume because we have seen it break on ourselves first.
- InterviewGodProcesses every Banao hire application — structured intake, scoring, and audit trail.
- VikaasRuns Banao's own demand-generation pipeline, end to end.
When digitization is not the right first move
We will tell you before you commission a scan project that will not pay back:
- Small volume: if a department processes fewer than a few hundred documents a month and retrieval is rare, a well-organised filing cabinet costs less than a database. We will say so.
- Records already indexed elsewhere: some departments have a digital index that just needs a cleanup rather than a full re-scan. A Discovery Sprint surfaces this in week one.
- Irrecoverable source quality: documents that are water-damaged, faded beyond reading, or have no consistent structure may need manual data entry, not OCR. We scope this honestly rather than overstating automation rates.
How we start — fixed-price, no commitment to proceed
A records project scoped from the outside routinely misjudges volume, quality, and language mix. We look at the actual files first.
- AI Discovery Sprint2 weeks · fixed price
We audit a sample of your records — document types, language mix, scan quality, volume estimate, and existing index if any. You receive a go/no-go, an accuracy estimate on your hardest document class, and a phased implementation plan. Yours to keep. Proceed, and the Sprint fee is credited against the build.
- Digitization build
Scanning, OCR pipeline, classification, validation gates, and database loading — with a daily quality dashboard so you see the error rate and backlog progress without asking. Phased by document type so the first tranche is searchable before the last box is scanned.
- Search, handover, and ongoing intake
Plain-language search for staff from day one of each phase. A documented handover so your team can run the pipeline for new documents without depending on us. A support window while the process beds in.
Frequently asked questions
Our documents include handwriting in regional scripts. Can you handle that?
Yes. Banao's extraction pipelines cover English, Hindi, Tamil, Telugu, Kannada, Malayalam, and mixed-language documents. The Discovery Sprint identifies the script mix and tests accuracy on your hardest samples before you commit to a build.
How long does a records digitization project take?
The Discovery Sprint is two weeks. Build time depends on volume, quality, and document-type variety — a phased approach means staff get searchable records from the first tranche before the last box is processed. We give a phased timeline at the end of the Sprint.
Can the database stay on our servers?
Yes. On-premise deployment is the default for government records projects. We also deploy in government-designated or sovereign-cloud environments. Citizen data does not touch a commercial public cloud unless your IT policy allows it.
What accuracy rate should we expect?
That depends on document quality, language, and structure — which is exactly what the Discovery Sprint measures on your actual files. We will not quote a headline accuracy figure that does not apply to your document classes.
What happens to new documents that arrive after digitization is complete?
The intake pipeline continues to run on new documents as they arrive, with the same validation gates and quality checks. The handover documentation covers running the pipeline for new intake so your team is not dependent on a contractor.
Bring us your hardest document class
In 45 minutes we will tell you whether your records are ready for automated extraction, what accuracy to expect on your actual files, and what a phased digitization project would cost.
Book a 45-min scoping call