Sarvam AI Introduces Multimodal Vision Model for Indian Scripts and Complex Documents

Sarvam AI launches Sarvam Vision, a multimodal AI model offering advanced OCR and document intelligence across Indian languages, outperforming global AI systems in reading, understanding, and digitising complex documents.

Sarvam AI Introduces Multimodal Vision Model for Indian Scripts and Complex Documents

Sarvam AI, an India-based AI startup, has released a new multimodal AI model dubbed Sarvam Vision, which aims to solve one of India's most pressing digital challenges, interpreting documents written in numerous Indian languages and scripts. The company announced its launch on February 5, and claims that the new model outperforms many global AI systems in terms of document intelligence and OCR for Indian languages.

Most worldwide AI vision algorithms are designed primarily for English content. As a result, Indian languages frequently receive inadequate support. According to Sarvam AI, this has resulted in a significant portion of India's knowledge being stored in physical documents, scanned data, and historical records. Sarvam Vision aims to unlock this data and make it useful for research, governance, and business activities.

Sarvam Vision is built around the company's proprietary 3B-parameter vision-language model. This model can reliably extract text and interpret meaning from complicated documents that include photos, tables, charts, and handwritten text. Unlike traditional OCR systems, Sarvam Vision knows how different elements in a document connect to one another. In early benchmark tests, Sarvam Vision performed well in OCR tasks across 22 official Indian languages. These include Hindi, Bengali, Tamil, Telugu, Marathi, Malayalam, Kannada, Gujarati, Punjabi, Urdu, Assamese, and a number of others. According to Sarvam AI, the model surpassed several of the world's best AI systems at reading and understanding language documents.

Another significant advantage of Sarvam Vision is its capacity to analyze visual structures. It understands trend lines in charts, nested tables, complex layouts, and multi-column documents. This makes it suitable for examining government records, financial documents, academic papers, and historical archives. Sarvam AI claims that the model was trained using innovative methodologies to improve accuracy, reliability, and consistency between text and images. This helps to decrease typical errors found in older OCR systems, particularly for Indian scripts.

To encourage adoption, Sarvam AI will make its Document Intelligence APIs and Vision experience available for free to all users in February 2026. Sarvam Vision aims to make Indian-language papers more accessible and bring India's vast resources into the digital age.

Information referenced in this article is from Business Toady