Managed OCR Services · From $7/hour

Managed OCR Data Extraction Services With Human Validation

Turn printed text, forms, invoices and tables in supplied PDFs or images into structured data. We combine optical character recognition with field rules, confidence thresholds and human review.

Get a Custom Quote See the OCR Workflow

$0/hr

Starting rate

0 days

To deployment

Active clients

0.5%

Accuracy SLA

ISO 27001

ISO 9001:2015

GDPR Ready

Trusted for high-volume document data extraction and validation

Common Challenges

Why OCR output needs an operating process

OCR software reads characters. A usable service must also protect fields, tables, exceptions and downstream structure.

Skew, blur and low contrast reduce recognition confidence

We classify the supplied documents and test representative samples before setting extraction and review rules.

✓Measure quality by document class
✓Apply approved image preparation
✓Set confidence thresholds by field
✓Flag unreadable content instead of guessing

Image Quality visual

Client Results

OCR delivery judged by validated output

Recognition is only one stage. The final measure is usable structured data.

Document OperationsOCR Validation

Digitally supplied records converted into searchable and structured outputs

Field-level review rules

Source-linked exception queue

Data ManagementHigh Volume

200,000+ records digitized with zero data loss

200,000+ records processed

Zero data loss in the approved dataset

What's Included

What our managed OCR services include

We scope each workflow around the input type, fields, confidence rules, validation method and required export.

Printed text extraction

Machine-printed text captured from supplied PDFs, scans and image files.

Forms and invoices

Defined names, dates, invoice numbers, line items, totals and other approved fields.

Table extraction

Rows, columns, headers and relationships prepared for spreadsheet or database output.

Conditional handwriting

Handwritten inputs assessed by script, legibility, consistency and required accuracy before acceptance.

Human validation

Low-confidence values, required fields and structural exceptions checked against source pages.

Structured exports

CSV, XLSX, JSON, XML, searchable PDF or client templates with an exception record.

Extraction controls

Match each OCR input to the right validation rule

OCR inputs, extraction scope, confidence handling and validated outputs.
Input	OCR scope	Fields	Confidence handling	Validated output
Printed forms	Text and field extraction	Named fields and checkboxes	Review low-confidence required fields	CSV, XLSX, JSON or template
Invoices	Header and table extraction	Supplier, dates, line items and totals	Reconcile required fields and totals	Structured AP-ready file
Complex tables	Layout and row extraction	Headers, rows and relationships	Queue broken or merged structures	Spreadsheet or database import
Handwriting	Feasibility-tested recognition	Agreed legible fields only	Human review or manual capture	Source-linked validated values

OCR review loop

Keep low-confidence values tied to the source page

Recognition output becomes usable data only after required fields, tables and exceptions are checked against the supplied document.

OCR data extraction workflow linking supplied documents, extracted fields, confidence thresholds, human review and structured export

Related Services

Services around the OCR workflow

OCR extracts text. These adjacent services cover file organization, format changes and recurring capture.

Document digitization services

Prepare, OCR, index and validate digitally supplied scans, PDFs and images.

Data capture services

Capture recurring information from forms, records and approved digital sources.

Data conversion services

Map extracted values into a required file format, structure or schema.

$7/hr

Starting rate

99.5%

Accuracy SLA

7 days

Team deployment

ISO

27001 and 9001:2015

Why Acelerar

When managed OCR data extraction is the better fit

Use a managed workflow when the consequences of a wrong value matter more than raw recognition speed.

High volume

Your team cannot review every extracted field

We apply confidence and validation rules so human attention goes to required fields and genuine exceptions.

Scope the volume →

Complex documents

Tables, forms and mixed layouts break a basic OCR export

Document classes, layout rules and source-linked exceptions keep structure visible through extraction.

Review document samples →

System-ready output

You need more than plain text from an OCR API

We map validated values into agreed CSV, XLSX, JSON, XML or client templates for the next workflow.

Define the output →

OCR Process

The OCR document processing workflow

Classify the inputs

Confirm supplied file types, document classes, layouts, languages, image quality and sensitive fields.

Define the extraction schema

List required text, tables and fields plus formats, confidence thresholds and exception owners.

Run a representative pilot

Test normal and difficult pages, compare OCR output with the source and adjust the rules.

Extract and validate

Process controlled batches while human reviewers check agreed low-confidence and business-critical values.

Export and reconcile

Deliver the required format with counts, exceptions and evidence tied back to the supplied documents.

What clients say about Acelerar delivery

Brafton

“We needed reliable, fast data entry at scale. Acelerar delivered consistent quality from day one, no ramp-up time needed.”

Read all client testimonials →

OCR data extraction services: common questions

What does OCR mean?

OCR means optical character recognition. It converts printed or handwritten characters in an image or scanned document into machine-readable text. A managed OCR service adds classification, field rules, human review, structured export and quality evidence.

How accurate is OCR data extraction?

Accuracy depends on image quality, language, typeface, layout, handwriting and the fields being measured. Acelerar offers a 99.5% accuracy SLA for agreed fields and rules after representative samples define the validation method.

Can OCR read handwriting?

Sometimes. Feasibility depends on the script, legibility, consistency, page quality and required accuracy. We test representative handwritten samples, including difficult examples, before confirming scope. Low-confidence fields remain linked to the source image for human review. We may recommend manual capture when recognition does not meet the agreed threshold.

Can you extract tables from PDFs and scanned images?

Yes, where the table structure can be identified and validated. We define headers, row relationships, merged-cell handling and required totals, then report pages that need manual correction.

How do you protect private documents?

The workflow uses agreed access, transfer, retention and deletion controls under Acelerar's ISO 27001 and ISO 9001:2015 certified processes. Scope should identify sensitive fields, approved storage, the people allowed to review exceptions and whether test documents require masking. Final controls depend on the document sensitivity, downstream system and client requirements.

Which OCR output formats are available?

Outputs can include searchable PDF, plain text, CSV, XLSX, JSON, XML or a documented client template. The format and schema are agreed before the pilot so validation reflects the downstream use.

Get a Custom Quote

Send sample documents and the fields you need

Share representative PDFs or images, expected volume, required fields, output format and deadline. We will respond with the OCR, validation and exception-handling scope.

Response within 24 hours — no automated replies
Custom proposal, not a generic pricing sheet
$7/hr starting rate, no long-term contracts
ISO 27001 certified — your data stays yours

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