Indian Flag
Government Of India
A-
A
A+
ORGANISATION

Mizo OCR - Text Recognition for Mizo Language

OCR model for the Mizo language achieving 90.68% character accuracy on synthetic and curated printed text

About Model

MizoOCR is an Optical Character Recognition model for Mizo, a Tibeto-Burman language spoken by over 800,000 people in Mizoram, Northeast India. Built on TrOCR (microsoft/trocr-base-printed) and fine-tuned on a deduplicated dataset of 70,000 image-text pairs combining synthetic renders and curated samples, the model achieves 89.61% validation and 90.68% test character accuracy. MizoOCR correctly handles Mizo's unique diacritical characters (â, ê, î, ô, û) which cause failures in existing generic OCR systems. Developed by MWire Labs as part of the Northeast India OCR initiative to bring document digitization capabilities to underrepresented indigenous languages of the region.

Mizo OCR - Text Recognition for Mizo Language

Metadata Metadata

Attribution 4.0 International (CC BY- 4.0)

MWirelabs

OCR (Optical Character Recognition) Model

Transformers

Open

MWire Labs

Sector Agnostic

25/02/26 12:33:50

Badal Nyalang

0

Activity Overview Activity Overview

  • Downloads0
  • Redirect 2
  • File Size 0
  • Views 298

Tags Tags

  • OCR
  • Mizo
  • northeast-india
  • trocr
  • Image-to-Text
  • low-resource

License Control License Control

Attribution 4.0 International (CC BY- 4.0)

More Models from MWire Labs More Models from MWire Labs

Northeast STT Multilingual Speech to Text Model
A multilingual Speech-to-Text (STT) model for eight Northeast Indian languages, fine-tuned from Whisper Medium using over 150,000 speech-text pairs from public and institutional datasets. The model expands speech recognition support for low-resource indigenous languages, including Khasi, Garo, Mizo, Kokborok, Nagamese, Assamese, Chakma, and Wancho.
low-resource
northeast-india
Northeast India Languages
whisper
Speech processing
Multilingual speech
Speech to Text
Multilingual
Automatic Speech Recognition
  • See Upvoters0
  • Downloads0
  • File Size0
  • Views40
Updated 21 day(s) ago

MWIRE LABS

NE-SpeechEmbed
NE-SpeechEmbed is a multilingual speech-text embedding model by MWire Labs for Northeast Indian languages. The model supports semantic speech search, cross-modal retrieval, and audio-text embeddings across Khasi, Garo, Mizo, Nagamese, Kokborok, Assamese, Wancho, and Chakma.
speech-text-retrieval
speech-embeddings
speech-language-model
mwire-labs
embeddings
whisper
low-resource-languages
northeast-india
retrieval
low-resource
XLM-RoBERTa
speech
multilingual
audio-text-retrieval
  • See Upvoters0
  • Downloads0
  • File Size0
  • Views22
Updated 24 day(s) ago

MWIRE LABS

NE-Embed
NE-Embed is a multilingual text embedding model for Northeast Indian languages, enabling semantic search, retrieval, and RAG across 10 languages including Khasi, Garo, Meitei, Bodo, Mizo, Assamese, Nyishi, Kokborok, Pnar, and Nagamese. Fine-tuned on LaBSE with 201,738 parallel pairs.
Multilingual
embeddings
northeast-india
sentence-transformers
retrieval
low-resource
rag
  • See Upvoters0
  • Downloads0
  • File Size0
  • Views23
Updated 24 day(s) ago

MWIRE LABS

Mizo OCR - Text Recognition for Mizo Language
OCR model for the Mizo language achieving 90.68% character accuracy on synthetic and curated printed text
Image-to-Text
trocr
Mizo
northeast-india
low-resource
OCR
  • See Upvoters0
  • Downloads2
  • File Size0
  • Views299
Updated 4 month(s) ago

MWIRE LABS

NE-OCR
NE-OCR is a multilingual Optical Character Recognition model developed by MWire Labs to accurately recognize printed text from documents in Northeast Indian languages. The model supports Assamese, Bodo, English, Garo, Hindi, Khasi, Kokborok, Meitei (Bengali script), Meitei (Meitei Mayek script), Mizo, Nagamese, and Nyishi. It is designed to enable reliable digitization of books, newspapers, government records, educational materials, and cultural archives from Northeast India where mainstream OCR
northeast-india
khasi
Mizo
Optical Character Recognition
OCR
doctr
vitstr
Multilingual OCR
Northeast India OCR
Printed Text Recognition
BODO
Garo
Kokborok
Nyishi
Meitei
Nagamese
  • See Upvoters0
  • Downloads8
  • File Size0
  • Views201
Updated 4 month(s) ago

MWIRE LABS

Nagamese Speech-to-Text
Automatic Speech Recognition (ASR) model for Nagamese speech, designed to transcribe spoken Nagamese into text for real-world usage.
Nagamese
Automatic Speech Recognition
ASR
Speech Recognition
whisper
low-resource-language
  • See Upvoters0
  • Downloads3
  • File Size0
  • Views208
Updated 4 month(s) ago

MWIRE LABS

Garo OCR - Text Recognition for Garo
OCR model for the Garo language achieving 93.13% character accuracy.
florence-2
northeast-india
Garo
OCR
Image-to-Text
  • See Upvoters0
  • Downloads0
  • File Size0
  • Views269
Updated 4 month(s) ago

MWIRE LABS

Northeast Language Identification
NE-LID is a fast and accurate language identification model for Northeast Indian languages using character level features. It is designed for low resource and script diverse text and achieves high accuracy on short sentences.
language identification
fastText
Multilingual
fasttext
MWire Labs
northeast-india
low-resource
  • See Upvoters1
  • Downloads13
  • File Size0
  • Views863
Updated 6 month(s) ago

MWIRE LABS

NortheastNER
NortheastNER is a token classification model built on XLM-RoBERTa and fine-tuned on ~25k sentences from gazetteers, news, and cultural texts across Northeast India. It detects region-specific entities, places, tribes, festivals, tourist sites, flora, fauna, and experimental local names; ideal for low-resource NER, regional search, cultural analytics, and knowledge graph applications.
Token Classification
Conservation
Northeast India
Meghalaya
northeast-india
low-resource
XLM-RoBERTa
NER
  • See Upvoters0
  • Downloads14
  • File Size0
  • Views365
Updated 8 month(s) ago

MWIRE LABS

Kren-M
Northeast India's first AI language model. Kren-M is a 2.6B parameter bilingual model for Khasi-English, built on Gemma-2-2B. Features Kren-NE custom tokenizer covering 7 NE languages (Khasi, Garo, Mizo, Assamese, Manipuri, Nagamese, Nyishi) with 35.7% efficiency gain. Trained on 5.43M Khasi sentences. Capabilities: bidirectional translation, natural conversation, cultural context. Designed for language preservation across Northeast India
northeast-india
Garo
low-resource
Instruction-Tuning
Indian Languages
Tokenizer
Foundational model
Northeast India Languages
Kren-M
bilingual
continued-pretraining
Northeast India
khasi
  • See Upvoters0
  • Downloads38
  • File Size0
  • Views1,014
Updated 8 month(s) ago

MWIRE LABS