590+ monthly searches · High-demand service

Document Processing Outsourcing Services

Contracts buried in filing cabinets. Medical records scattered across legacy systems. Financial statements trapped in PDFs. Acelerar's document processing teams digitize, extract, classify, index, and archive your documents, turning unstructured paper and digital files into searchable, structured data ready for analysis, compliance, or system import.

Document processing workflow showing physical and digital documents being digitized, classified, and organized into structured datasets
500+
Teams Deployed
99.5%
Accuracy SLA
70%
Avg Cost Savings
7-Day
Team Deployment
4.9 out of 5·from 120+ verified reviews
Clutch (4.9)Google (4.8)GoodFirms (5)

What are document processing services?

Document processing is the end-to-end workflow of converting, digitizing, extracting, classifying, indexing, and archiving information from physical and digital documents. Businesses handle thousands of contracts, forms, medical records, legal files, invoices, and financial statements every month, but that information is only useful when it's been captured accurately, organized logically, and made searchable. Document processing outsourcing means handing these labor-intensive tasks to trained specialists who combine manual expertise with AI-powered tools, so your internal teams can focus on decisions rather than data preparation.

From stacks of paper to structured, searchable data

Document digitization & scanning

Physical documents (contracts, patient records, legal files, tax returns, correspondence) scanned at high resolution and converted to searchable digital formats. We handle single-page letters to multi-thousand-page archives. Every scan goes through image enhancement, deskewing, and quality checks to ensure readability. Output in PDF/A, TIFF, or your preferred format with consistent naming conventions and folder structures.

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Physical documents being scanned and converted to high-quality searchable digital files with organized folder structures

OCR & data extraction

Optical character recognition combined with human verification to extract structured data from scanned documents, typed PDFs, and handwritten forms. We pull names, dates, amounts, policy numbers, diagnosis codes, contract terms, any field you need, and deliver it in spreadsheet, database, or API-ready format. AI-assisted extraction handles routine fields while specialists verify complex or ambiguous entries.

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OCR extraction interface showing scanned document fields being identified and converted to structured data rows

Document classification & indexing

Incoming documents sorted, categorized, and tagged by type, department, date, client, or any taxonomy you define. Insurance claims separated from correspondence. Invoices routed to AP. Medical records indexed by patient and encounter date. Our classification workflows use rule-based logic and machine learning to handle high-volume sorting with minimal manual intervention, and human operators review edge cases to maintain accuracy.

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Document classification dashboard showing incoming files being automatically sorted into categories with confidence scores

Document archival & retrieval systems

Processed documents organized into compliant archival systems with full-text search, metadata tagging, version control, and access permissions. Whether you need a simple cloud folder structure or integration with a document management system like SharePoint, DocuWare, or M-Files, we set up the infrastructure and migrate your documents into it. Retention policies, audit trails, and compliance-ready documentation included.

See data management services
Document archival system showing organized digital repository with search functionality, metadata tags, and access controls

The real cost of in-house document processing

A full-time document processing specialist in the US costs $38,000 to $48,000/year fully loaded. With Acelerar, you get the same output for a fraction.

In-House Document Processing

$43K

per year / per person

Hiring · Training · Benefits · Equipment · Software licenses

With Acelerar

$13K

per year / per person

Pre-trained · 99.5% accuracy · AI-augmented · Same-day turnaround

Why businesses outsource document processing to Acelerar

99.5% Accuracy Guaranteed

Every extracted field, every classification, every index entry verified through multi-layer QA: automated validation rules, double-key verification on critical fields, and human spot-checks before delivery.

Any Document Type, Any Format

Contracts, medical records, legal filings, financial statements, insurance claims, HR documents, tax returns. Paper, PDF, image, or fax. You send it however you have it; we process it.

HIPAA & Compliance-Ready

HIPAA-aware processing for healthcare documents. SOX-compliant handling for financial records. GDPR-aligned workflows for EU data. Industry-specific compliance built into every processing step.

70% Cost Savings

Document processing clerks in the US cost $35,000 to $45,000/year. Our dedicated teams deliver the same throughput at 70% less, with no overhead for hiring, benefits, workspace, or equipment.

Scalable Processing Capacity

Need 1,000 documents processed this week and 50,000 next month? Our teams scale on demand. No hiring delays, no training periods, no capacity constraints. Volume adjusts to your workload.

Fast Turnaround with Custom SLAs

Standard projects delivered in 24 to 48 hours. High-volume backlogs scoped with milestone-based timelines. Rush delivery available when compliance deadlines or audits can't wait.

How AI accelerates your document processing

Our document processing pipeline combines AI automation with human verification, delivering speed that pure-manual teams can't match and accuracy that pure-AI tools can't guarantee.

Intelligent OCR & Extraction

AI-powered optical character recognition reads printed text, handwriting, and mixed-format documents. Machine learning models identify field boundaries, table structures, and key-value pairs automatically, reducing manual extraction time by 60 to 80%.

Automated Document Classification

ML classifiers sort incoming documents by type, department, priority, and routing destination within seconds. Invoices, contracts, claims, correspondence, each routed to the correct processing queue without manual triage.

Predictive Quality Assurance

Anomaly detection models flag extraction errors, misclassified documents, and incomplete records before they reach your systems. Confidence scoring on every extracted field tells operators exactly where to focus their verification effort.

Human + AI, not one or the other. Our AI handles the volume; our specialists handle the nuance. The result is 3x throughput at 99.5% accuracy, a combination neither pure-AI nor pure-manual approaches can achieve.

From raw documents to structured data in 5 steps

1

Submit

Share your documents via secure upload portal, SFTP, or mail: paper files, scanned images, PDFs, or mixed batches in any format

2

Digitize

Physical documents scanned at high resolution. Digital files normalized and enhanced for optimal extraction quality

3

Extract & Classify

AI-powered OCR extracts data fields. Documents classified, sorted, and indexed according to your taxonomy and routing rules

4

Verify

Multi-layer QA validates every extraction, classification, and index entry against your specifications. Anomalies flagged for review

5

Deliver & Archive

Structured data delivered in your preferred format. Processed documents archived with full-text search, metadata, and compliance-ready documentation

We work with your document management tools

Our teams are trained on the platforms you already use.

What our document processing clients say

The Acelerar team is a self-sustaining machine. They've become an extension of our own team.

Acelerar handled our entire catalog migration (50,000+ SKUs) without a single missed deadline.

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

Where document processing outsourcing is heading

The document processing market is expanding rapidly as businesses digitize operations and AI reshapes how documents are handled.

2025
$7.6B
Global intelligent document processing market
MarketsandMarkets, 2024
2030
$25.7B
Projected IDP market size
MarketsandMarkets, 2024
2030
37%
CAGR for intelligent document processing
Grand View Research, 2024
ISO 27001 Certified
ISO 9001:2015
NDA for Every Team Member
Encrypted Data Transfer

Document Processing Services FAQs

Document processing is the systematic workflow of converting, digitizing, extracting, classifying, indexing, and archiving information from physical and digital documents. It transforms unstructured files (contracts, forms, medical records, invoices, legal documents) into structured, searchable, and actionable data that can be analyzed, reported on, or imported into business systems.
We process virtually any document type: contracts and agreements, medical records and patient files, insurance claims and policy documents, legal filings and court documents, financial statements and tax returns, invoices and purchase orders, HR documents and employee records, survey responses and application forms, correspondence and memos, and technical manuals. Paper, PDF, scanned image, fax, or digital. We handle it all.
Pricing depends on document volume, complexity, source format, number of extraction fields, and turnaround requirements. On average, outsourcing saves 60 to 70% compared to in-house processing. We offer per-document, per-page, per-hour, and monthly retainer pricing models. Contact us with your project details for a custom quote within 24 hours.
We guarantee 99.5% accuracy with our standard SLA. For critical healthcare, financial, or legal documents, we apply double-key verification where two operators independently process the same records and discrepancies are flagged for supervisor review. AI-powered validation catches format errors and anomalies in real time.
Yes. Our team is trained to interpret varied handwriting styles across medical forms, applications, surveys, and historical records. We combine AI-assisted handwriting recognition with manual verification to ensure accuracy on fields that automated tools typically struggle with. Illegible entries are flagged with confidence scores for your review.
We use a combination of rule-based logic and machine learning classifiers to sort documents by type, department, date, client, or any custom taxonomy you define. Each document is tagged with metadata fields for full-text search and retrieval. High-confidence classifications are auto-applied; edge cases are routed to human operators for review.
We are ISO 27001 certified. All team members sign NDAs. Documents are transmitted via encrypted channels and processed in secure environments with physical access controls. We support HIPAA-compliant processing for healthcare, SOX-compliant handling for financial records, and GDPR-aligned workflows for EU data. Audit trails track every document through the processing pipeline.
We deliver in any format you need: structured spreadsheets (CSV, Excel), database-ready imports (SQL, JSON, XML), searchable PDFs (PDF/A), direct system entry into your CRM or ERP, or integration with document management platforms like SharePoint, DocuWare, or M-Files. We match your existing schemas and naming conventions.
Yes. We integrate with SharePoint, Google Drive, Dropbox Business, DocuWare, M-Files, Laserfiche, OpenText, and most major DMS platforms. Processed documents are uploaded with metadata, folder structure, and access permissions matching your existing configuration. Custom API integrations are available for proprietary systems.
Data entry is entering data from a source into a system. That is one step in the broader pipeline. Document processing encompasses the full lifecycle: scanning and digitization, OCR extraction, classification, indexing, quality verification, and archival. Data entry is one component within document processing. We offer both as standalone or combined services.
We regularly process backlogs ranging from 5,000 to 500,000+ documents. Our workflows are built for volume: batch scanning pipelines, AI-powered extraction, parallel processing queues, automated validation, and multi-tier QA. Team capacity scales within 48 hours for seasonal spikes or one-time cleanup projects.
We support both. Many clients send us daily or weekly batches of incoming documents (new claims, invoices, contracts, patient records) as part of an ongoing engagement. Others use us for one-time digitization or backlog cleanup. Flexible scheduling to match your document flow.

Documents piling up? Let's process them.

Get a custom quote for your document processing project (digitization, extraction, classification, or the full pipeline) within 24 hours.

No commitment required. We respond within 24 hours.