At Bhashini.ai, we believe that books represent the most refined and enduring form of human knowledge. Unlike everyday spoken communication, which often captures spontaneous thought, written works—especially formal documents and books—are the result of deep reflection, iterative refinement, and sustained intellectual effort.
Even the creation of a short, publishable paper involves weeks of careful drafting, review, and revision beyond the underlying research itself. Writing a book, in contrast, is often the culmination of years of thinking, experience, and feedback, making books the most distilled expression of human understanding and wisdom.
Indian language books, in particular, embody a vast and irreplaceable body of knowledge expressed in our mother tongues, shaped by cultural context, lived experience, and generational learning. Much of this knowledge remains inaccessible in the digital and AI-driven world unless it is carefully preserved, structured, and digitized.
As part of its broader language technology stack, Bhashini.ai undertakes the digitization of Indian language books to preserve this intellectual heritage, make it discoverable and accessible in modern digital formats, and ensure that it can meaningfully participate in the next generation of AI systems—while remaining faithful to the original language, structure, and intent of the authors.
“If you want your children to be intelligent, read them fairy tales. If you want them to be very intelligent, read them more fairy tales.” - Albert Einstein
While school and college textbooks are essential for structured learning, literary works capture dimensions of human experience that formal education alone cannot convey. Literature reflects lived realities, emotional depth, social nuance, and cultural context—often in ways that are subtle yet profoundly impactful.
For example, in the Kannada novel Kiragurina Gayyaligalu by Sri Purnachandra Tejasvi, the author sensitively portrays the emotional and social challenges faced by a daughter-in-law during her menstrual cycle and the resulting dynamics within the family. Through nuanced storytelling, the narrative fosters empathy, awareness, and reflection—helping readers recognize shared human experiences that extend beyond individual circumstances.
When such insights are communicated in one’s mother tongue, their impact is immediate and deeply resonant, enabling readers to internalize complex social and emotional truths with clarity and compassion. This is the unique strength of literary works: they transmit social wisdom, ethical understanding, and cultural memory that cannot be reduced to facts or curricula.
Across Indian languages, there exists a vast body of literary knowledge spanning multiple fields of human endeavour—much of it representing the lifetime work of authors. Digitizing and preserving these works ensures that this richness remains accessible, relevant, and alive in the digital and AI-driven era.
Audiobooks play an important role in improving accessibility, particularly for visually challenged readers. However, in the context of modern AI-driven knowledge systems, audio alone is not sufficient. The rapid advances in Artificial Intelligence—such as Large Language Models and expressive Text-to-Speech—have fundamentally expanded how written content can be accessed, transformed, and experienced.
Technologies today can synthesize high-quality, emotionally expressive speech, generate audiobooks in multiple voices, and even recreate familiar voices using minimal reference audio. These capabilities enable deeply personalized experiences, such as narrating a bedtime story to a child in the mother’s own voice. All of these innovations are built on one essential prerequisite: the availability of the book in a clean, structured electronic text format.
EPUB is the internationally accepted standard for digital publishing and provides a semantically rich, structured representation of text. Beyond direct reading, EPUB serves as a durable foundation for conversion into multiple accessible formats, including DAISY, DOC, and PDF. By prioritizing EPUB creation, Bhashini.ai ensures that content remains future-ready, accessible, and adaptable, supporting both current audiobook use cases and the next generation of AI-powered, speech-first interactions.
Bhashini.ai brings proven, hands-on capability in large-scale digitization of Indian language books, having successfully digitized over 1,000 Kannada-language titles through a rigorously engineered, end-to-end process.
This capability is built on real-world execution at scale, not pilot experimentation. Our digitization pipeline integrates best-in-class scanning practices, high-accuracy OCR, systematic human validation, and standards-compliant EPUB generation, ensuring accuracy, structural integrity, and long-term usability.
The workflow has been refined through sustained operational use and is language-agnostic by design, making it well-suited for expansion across multiple Indian languages. This positions Bhashini.ai as a strong, execution-ready partner for large-scale, multi-language book digitization initiatives.
Physical digitization
Collect physical books, remove binding, and scan pages at 300 DPI, grayscale (uncompressed TIFF)
Upload scanned images to centralized processing server
OCR and text validation
Mark text and image regions and validate skew correction
Run high-accuracy OCR
Proofread and manually correct OCR output, focusing on low-confidence words
Structural markup
Mark paragraph boundaries, sections, and chapter links
Preserve logical structure and navigation
EPUB generation and quality assurance
Generate standards-compliant EPUB eBooks
Test across mobile and desktop platforms (Android, Windows, macOS, Linux)
Validate reading order, navigation, and table of contents