Document accessibility remediation software
Custom software development services that turn PDFs, Word files, slide decks and scans into WCAG 2.2 AA and PDF/UA conformant documents at scale.
Trusted by enterprise teams, associations and universities across 4 continents
Powered by leading cloud & AI platforms
Recognized by leading industry reviewers
Awards & industry recognition
Accessibility deadlines are already here
Accessibility rules cover the PDFs, forms and office files you publish. The DOJ rule for public entities adopts WCAG 2.1 AA, as the ADA.gov fact sheet on the web rule explains.
Manual fixing cannot keep up with thousands of files. Custom software lets AI handle the structure work and sends only uncertain items to your reviewers.
June 28, 2025
European Accessibility Act
Covers e-books, banking and other digital services sold in the EU.
May 11, 2026
HHS Section 504
Healthcare organisations that receive HHS funding.
April 26, 2027
ADA Title II
State and local governments serving 50,000+ people.
April 26, 2028
ADA Title II
Smaller public entities and special districts.
Remediation software we build
Every engagement is shaped around your document families, volumes and review team. It is the same practice behind our Custom Software Development Services, applied to one of the hardest problems in accessibility.
Core engine
Custom PDF remediation engines
Tag tree generation, reading order, role mapping, table headers, bookmarks, language and metadata fixes, all written to PDF/UA-1 and WCAG 2.2 AA.
AI
AI auto-tagging models
Layout detection trained on your own documents to classify headings, lists, tables, figures, footnotes and artifacts, with confidence scores that decide what needs review.
Scale
Bulk remediation pipelines
Queue-based batch processing for statements, notices, reports and archives, with retries, audit logs and a conformance report for every file.
Human in the loop
Human review workbench
A browser editor where remediators confirm uncertain tags, fix reading order visually and approve alt text without working in the raw tag tree.
Generative AI
AI alt text and form labelling
Vision-language models draft alt text for photos, charts and diagrams, and label form fields with names, tooltips and tab order.
At the source
Accessible document generation
Accessibility built into templates and customer communication output, so statements, letters and reports are tagged when they are created.
Office and EPUB
Word, PowerPoint, Excel and EPUB tooling
Checkers and fixers for heading styles, slide reading order, spreadsheet headers and EPUB accessibility metadata, including DAISY Ace checks.
OCR
Scanned document remediation
OCR, layout reconstruction and tagging for image-only PDFs, handwritten forms and historical records that have no usable text layer.
Quality
Validation and QA automation
Automated checks against the Matterhorn Protocol and WCAG, screen reader test plans and dashboards that turn results into audit-ready evidence.
PDF remediation software vs services
There are three ways to fix documents at scale. Most organisations with recurring volume combine them, so it helps to know where each one fits.
| Factor | Custom software by SDLC Corp | Licensed remediation tool | Per-page remediation service |
|---|---|---|---|
| Best for | Recurring, high-volume document families and product teams embedding accessibility | In-house staff fixing individual files | One-off backlogs and specialist documents |
| Volume | Thousands to millions of pages, processed in batches | Limited by staff hours per file | Limited by vendor capacity and turnaround |
| Document fit | Models trained on your layouts and templates | Generic detection, tuned by hand | Expert handling of each file |
| Data control | Runs in your cloud or on premises | Depends on the vendor | Files leave your environment |
| Integration | Connected to your CMS, DMS, LMS or output systems | Mostly manual upload and download | Manual hand-off |
| Cost model | Build cost, then low marginal cost per page | Annual licences per seat | Ongoing cost per page |
| Ownership | You own the code, workflow and trained models | Vendor roadmap | Vendor process |
Need a ready platform instead of a custom build? Our own Limina ADA & WCAG document accessibility remediation software scans sites and PDFs, ranks fixes by root cause and keeps compliance evidence. We often start with Limina and build custom modules around it.
Document remediation by industry
These sectors publish the most documents to the public and face the clearest legal duties to make them accessible.
Government and public sector
Agendas, minutes, permits, budgets and public notices for cities, counties, states and special districts preparing for ADA Title II. Read more in our guide to AI for Government.
Higher education
Syllabi, course readers, lecture slides and research papers pulled from LMS platforms and remediated before a student has to ask. See our EdTech App Development Services.
Healthcare
Patient notices, benefit summaries, consent forms and discharge instructions for HHS-funded providers, with PHI kept inside your environment. Explore our work as a Healthcare Software Development Company.
Banking and financial services
Monthly statements, disclosures, tax forms and prospectuses generated in the millions and tagged at the point of output. Learn about our FinTech Software Development Company practice.
Insurance
Policy packs, explanation of benefits documents and claims letters that change by customer and by state.
Publishing
Accessible EPUB and PDF output for books, journals and learning materials sold in the EU. Related reading: AI for Publishing Industry.
Legal and courts
Court forms, filings, opinions and self-help guides with complex tables, footnotes and form fields.
Utilities and transit
Bills, rate schedules, maps and timetables that public authorities must publish in accessible formats.
From backlog to pipeline in six stages
Each stage has a clear output, so you can measure conformance before you commit to the full build.
Document inventory and audit
We sample your repositories, group files into document families and score current accessibility with automated and manual checks.
Standards and risk mapping
We map each family to the rules that apply, such as WCAG 2.1 or 2.2 AA, PDF/UA-1, Section 508 or EN 301 549, and agree what counts as done.
Architecture and proof of concept
We design the pipeline, pick the PDF and AI stack, and prove tagging accuracy on one high-volume family before scaling.
Model training and rules engine
Layout models are tuned on your documents, and deterministic rules handle headers, footers, artifacts and metadata.
Review workbench and integrations
We ship the reviewer interface and connect the pipeline to your CMS, document store or output system through APIs.
Validation, rollout and monitoring
Every file is validated, reported and logged. Dashboards track pass rates, review load and drift as new templates appear.
Our remediation technology stack
We stay tool-agnostic and choose libraries by document type, volume and hosting needs. Layout and alt text models come from our Computer Vision Development Services and Natural Language Processing (NLP) Services teams.
PDF, document and accessibility testing
- Adobe Acrobat Pro
- PDF.js
Apache PDFBox- PDFix SDK
- iText
- veraPDF
- PAC
- DAISY Ace
- NVDA
- JAWS
- Apple VoiceOver
- EPUBCheck
AI, OCR and platform
- OpenAI
- Anthropic Claude
- Hugging Face
PyTorch
TensorFlow
OpenCV- Tesseract OCR
- LangChain
Microsoft Azure
AWS
Google Cloud
Python
Java
Node.js
React
FastAPI
Docker
Kubernetes
PostgreSQL
Document AI case study
Accessible remediation depends on reading documents the way a person does. The same extraction, classification and validation stack already runs in production for our clients.
Live pipelineprocessing
Transworld Logistics: 2,000+ documents a day
Invoices and bills of lading are extracted, validated and synced to the ERP in one pipeline. Our free Data AI Ninja tool runs the same engine on other document types.
- 48hr to 4hr processing
- 98% lower error rate
- 82% lower cost per invoice
More examples: AI Intelligent Document Processing Case Studies
Why choose us for PDF remediation
Product experience, document AI already in production and a security posture built for regulated records. Here is what you get when we build your remediation software.
Accessibility platform we run ourselves
Building and operating Limina taught us where remediation breaks in real document sets, not just in demos.Documents a day in one live pipeline
Our extraction and classification pipelines already run in production for logistics and finance teams.AI specialists within 1,200+ engineers
Layout models, OCR and vision-language work handled by the same teams behind our AI practice.Code and models you own
Source code, trained models and pipeline configuration transfer to you, with no per-page fees to us.ISO 27001, HIPAA and GDPR aligned
Deployment inside your own cloud or on premises when records cannot leave your environment.Projects delivered and tested
Our Software Testing and QA Services team checks every release with validators and real screen readers. Custom API Development & Integration Services connect it all.Get a free document accessibility audit
Share a sample of your documents. We will return an accessibility baseline and a remediation pipeline plan within one week, before your next compliance deadline.
Remediation software cost and timeline
What it costs to build document remediation software depends on scope. These ranges are indicative, and we confirm a fixed estimate after the document audit.
Proof of concept
From $25,000
4 to 6 weeks
One document family, an auto-tagging baseline, measured accuracy and a conformance report you can take to stakeholders.
Best for validating accuracy before a full build
Production pipeline
$75,000 to $180,000
3 to 5 months
Batch processing, the review workbench, two or three integrations, validation reports and team training.
Best for recurring high-volume documents
Enterprise platform
From $180,000
6 to 10 months
Multiple formats, multi-tenant access, SSO, analytics and on-premises or private cloud deployment.
Best for agencies, universities and product vendors
- How many document families you have and how much their layouts vary
- The share of scanned, form-heavy or table-heavy files
- Target standards and the level of manual review you require
- Number of systems to integrate and your hosting requirements
Client reviews and testimonials
Operating leaders share what it is like to build software with SDLC Corp, from discovery and planning to launch and ongoing support.
Eric Leist
CEO, Edgerton Strategies
Doug Schmidt
CEO, Roofaid USA
Reyzal Razmi
All Star Influencers
They approached our Salesforce discovery with real technical depth, uncovered structural gaps others missed, and delivered a solution that worked exactly as promised.
From planning to post-launch, SDLC Corp guided us every step of the way. Their support makes them more than a vendor. They are a trusted partner.
Document AI blogs and guides
Field notes from the teams building OCR, PDF extraction and document processing pipelines, the same stack behind accessible remediation.
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Read articleDocument remediation FAQs
Quick answers to what buyers ask most about PDF and document remediation software. Do not see yours? Reach out and we will reply within 24 hours.
It is software that fixes documents so people using screen readers and other assistive technology can read them. It adds tags, sets reading order, writes alt text, labels form fields and checks the result against WCAG and PDF/UA.
Licensed tools help a person fix one file at a time. Custom software is trained on your document layouts, runs in batches, plugs into your systems and sends only uncertain items to a reviewer. Many teams keep a licensed tool for one-off files and use a custom pipeline for recurring volume.
We build to WCAG 2.1 or 2.2 Level AA, PDF/UA-1 (ISO 14289-1), Section 508, EN 301 549 for the European Accessibility Act, and the HHS Section 504 rule, depending on where your documents are published.
AI can handle most structure work on consistent document families. Complex tables, charts and ambiguous layouts still need human judgement, so we route low-confidence items to a reviewer instead of publishing them unchecked.
Yes. The DOJ rule covers conventional electronic documents such as PDFs, word processing files, presentations and spreadsheets that public entities make available, with narrow exceptions for some archived and pre-existing content. This is general information, not legal advice.
A proof of concept on one document family takes about 4 to 6 weeks. A production pipeline with a review workbench and integrations usually takes 3 to 5 months.
Projects start from about $25,000 for a proof of concept. Production pipelines typically fall between $75,000 and $180,000, and enterprise platforms go higher. After launch, the cost per page is far lower than paying per page for manual remediation.
Yes. We add OCR and layout reconstruction for image-only files, and we detect form fields to add labels, tooltips and a logical tab order.
Yes. We connect the pipeline through APIs and event hooks so files are checked and fixed when they are uploaded, before they reach the public.
You do. The source code, model weights, rules and documentation are handed over at the end of the project, and we can continue with support if you want us to.
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What happens next?
- We review your requirements
- Strategy call with experts
- Clear roadmap & estimate
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- Enterprise Grade Delivery
- Global Clients