OCR & Data Extraction Services in Pakistan

Nobody can answer that from a description, and any provider who gives you a percentage before seeing your records is quoting a brochure. Accuracy depends on print quality, scan resolution, script, typeface, paper condition and layout consistency, and it varies between document types inside the same archive. We run a sample test on your real documents and report the actual confidence distribution, which tells you what will read cleanly, what needs a human pass, and what should be keyed instead.

Partially, and the detail matters. Clean modern Naskh typesetting at good resolution is workable with a verification pass. Nastaliq typesetting, older print and faded documents are substantially less reliable. Handwritten Urdu, which is what most revenue and court registers actually contain, is not reliably recognisable by any engine we would stake a project on. For those records we recommend keyed data entry with double-entry verification, and we would rather lose the OCR line item than deliver an index you cannot trust.

Not through recognition, and we will not pretend otherwise. Handwriting recognition on institutional Pakistani records — mixed script, inconsistent hands, overwriting, annotations, decades of different conventions — does not reach a standard where the output is safe to act on. Handwritten records go to keyed entry with double verification on critical fields, which costs more per field and produces data you can actually use.

A searchable PDF holds the original scanned image exactly as it is, with a text layer sitting invisibly behind it. Your staff see the authentic document and can also search its contents. It is the most cost-effective single improvement to a scanned archive, because it turns a folder of pictures into something that answers a question. It does not replace an index — searching for a word finds documents containing that word, whereas an index finds the specific record by deed number, case number or CNIC.

Yes, and on structured documents that is the better approach. Where a document type has a consistent layout — a policy schedule, an allotment letter, a claim form, a register page — we define zones and map each to a named field. Zonal extraction against a known template is far more reliable than parsing free-form recognised text, and it delivers exactly the columns your database needs rather than a wall of words.

Often yes, and we will check first. Existing scans are frequently low-resolution bitonal images produced for storage rather than recognition, and software cannot recover detail the scan never captured. We assess a sample and tell you honestly whether recognition on your existing images will give usable output, or whether re-scanning is the cheaper route once error correction is counted.

Full-text OCR across an archive is priced per page and is relatively economical, because it is mostly machine time. Structured field extraction is priced by the number of fields and the verification effort each requires, which is driven by document condition and script. The verification pass is the real cost variable — a clean printed archive needs very little, while a mixed legacy collection can need a human look at a large share of fields. The sample test is what turns this into a fixed number.

Every result carries a confidence value. Results below the agreed threshold are routed to an operator who checks them against the document image and corrects them. Fields you designate critical can be set to full verification regardless of confidence, which is standard on deed numbers, policy numbers, case numbers and monetary amounts. Validation rules then reject impossible values even where confidence was high, and anything still unresolved is listed in the exception register rather than delivered as fact.

Yes. Output is delivered in the format and schema your system accepts — CSV, Excel, XML, JSON, a SQL load, or direct population of your application or EDMS. Field mapping is agreed with your IT team during scoping so the delivered structure matches the target, rather than arriving as a generic export someone then has to transform.

An organisation-level non-disclosure agreement is signed before any document is processed, and every operator on the verification pass signs an individual confidentiality undertaking. Processing takes place in an access-controlled area with no removable media or personal devices permitted. For sensitive archives we can carry out the work on-site on your own systems. The recognised text, extracted data and derived files are your property, and no copy is retained after handover beyond what you authorise in writing.