Make Every Image Accessible. Enhance Inclusivity with AI.
Codemantra Alt Text helps organizations meet accessibility standards by automatically generating accurate, meaningful alternative text for images, charts, and graphics. Powered by advanced AI and human validation, it ensures compliance, improves content discoverability, and delivers an inclusive reading experience for all audiences.
Alt Text AIWCAG-Compliant Image Descriptions at Scale
Alt Text AI generates context-aware, compliance-grade alternative text for complex scientific, technical, and medical imagery—automatically, at batch volume.
Key capabilities
Simple (short), Medium (long), and Complex (long) tiers automatically assigned based on image type taxonomy.
Tiered Framework
Every description is verified across four pillars: Structural Accuracy, Domain Accuracy, Completeness, and Relevancy before delivery.
Quality Score Gate
Programmatic filters prevent speculative claims, subjective commentary, or answer-revealing text in educational content.
Hallucination Guardrails
Generates compliant alt text across English, French, German, Spanish, and additional languages.
Multi-Language Engine
OutputsSpreadsheet and JSON mapped to localized image thumbnails
Direct sync to existing content repositories
ComplianceAmericans with Disabilities Act (ADA)
European Accessibility Act (EAA)
MediA AICaptions and audio descriptions, built for compliance
Media AI automates the generation of closed captions and audio descriptions for video content, built strictly on global media accessibility standards.
Key capabilities
Precise speech-to-text with non-speech acoustic data, speaker tokenization, and structural formatting. Maximum two-line layout with intelligent line breaks.
Closed Captioning
Timed scripts voiced via screen reader technology, dynamically adapting contextual density around dialogue cues.
Audio Descriptions
Speaker change identification, ambient sound markers, smart punctuation, hyphenation for stuttering, and numerical syntax rules applied automatically.
Context-Aware Mechanics
Output FormatsWebVTT — platform delivery standard
TTML — validated schema for authoring
SRT — universal compatibility format
TXT — untimed compliance record
ComplianceW3C media accessibility standards
Under 15-frame boundary alignment for optimal caption pacing
Structure AIPDF to accessible ePub3, automatically
Structure AI bridges the gap between static PDF layouts and dynamic web standards — automatically zoning document layouts, mapping semantic HTML5 tags, and converting complex PDFs into clean, accessible ePub3.
Key capabilities
AI engine maps document topology, defines layout zones, and predicts semantic HTML tags with a single ingest.
Automated layout parsing
Graphically define table bounds, align rows and columns, assign semantic headers, and handle colspan merges — precision traditional OCR cannot match.
Advanced table reconstruction
Auto-order for single-column text, column-wise sequencing for double-column scientific layouts, with toggle verification.
Intelligent reading order
Continue Attribute flag binds paragraphs, lists, and tables spanning physical page breaks into uninterrupted accessible sequences.
Logical text continuity
Best ForAcademic monographs and textbooks
Scientific and technical publications
Legacy backlist conversion at scale
Outputs
Semantically clean HTML5 / accessible ePub3
Fully zoned, tag-mapped document structure ready for digital delivery
Editorial AIPublication-ready manuscripts, end to end
Editorial AI uses an advanced agentic framework to automate mechanical, stylistic, and structural editing across the full manuscript lifecycle — delivering absolute precision with clear track changes.
Key capabilities
Corrects structural, bibliographic, and template formatting before copyediting begins — front matter integrity, heading casing, citation validation, numeral normalization.
Pre-editing
Deep linguistic review covering capitalization, abbreviation standards, hyphenation, dialect harmonization (US/UK), grammar verification, and scientific nomenclature.
Copyediting
Identifies citation systems (Harvard, CMS, APA, numbered), sorts groupings, enforces et al. guidelines, and flags missing or uncited references with precision error messages.
Reference Structuring
Absolute consistency across authored monographs, or chapter-level voice preservation for contributed volumes.
Configurable Scope
SupportsAuthored monographs
Contributed volumes
US and UK English dialect harmonization
OutputsPolished manuscript with embedded track changes
Categorized editorial summary report with data-driven change documentation
ASsessment AIAutomated manuscript review before production begins
Assessment AI scans raw manuscripts and extracts comprehensive quality insights — ensuring reliability, style adherence, and completeness before any production work starts.
Key capabilities
Calculates a Final Readiness Score using syntactic accuracy, dialect profiling, and readability scoring across vocabulary density and tone.
Language Analytics
Audits for missing components, text segment drift, duplicate content, uncited float elements, and caption hierarchy gaps.
Manuscript Integrity
Processes nested folder architectures simultaneously — ideal for multi-chapter books and large content volumes.
Batch Evaluation
OutputsColor-coded diagnostic report with expandable/collapsible summary
Readiness score computed through weighted formula across grammar, structure, and vocabulary
Best ForMulti-chapter books and large batch submissions
Pre-production quality gates
Editorial readiness validation