Who should use MultilingualOCR?

MultilingualOCR is a B2B product built for researchers and multilingual users.

Does MultilingualOCR have a free plan?

Yes — MultilingualOCR is free to use.

What platforms does MultilingualOCR run on?

MultilingualOCR runs on the web. It can also be self-hosted.

Is MultilingualOCR still active?

Unverified. MultilingualOCR has not been re-checked since it entered the index, so there is no finding either way — and only a positive finding would say otherwise.

What are alternatives to MultilingualOCR?

Similar projects tracked by PulseGate include EasyOCR, Multimodal OCR, and Tesseract OCR.

Who develops MultilingualOCR?

MultilingualOCR is developed by awacke1.

When did MultilingualOCR launch?

MultilingualOCR first shipped in 2023.

Back to the index

MultilingualOCR

Name: MultilingualOCR
Author: awacke1

huggingface.coAI

MultilingualOCR is a web application that extracts text from uploaded images in multiple languages, highlights detected text, and provides confidence scores. It is useful for researchers and users needing multilingual OCR capabilities.

FreeWebSelf-hostedCloud-managed

Visit huggingface.co

Overview

5 features

MultilingualOCR is an AI project. It focuses on extracting and highlighting text from images in various languages for data processing and analysis. MultilingualOCR is a B2B product aimed at researchers and multilingual users. MultilingualOCR costs nothing to use. It runs on the web, and it can be self-hosted.

Behind MultilingualOCR is awacke1, and it first shipped in 2023. Among its 5 catalogued features are OCR, multilingual support, and image upload.

Summary written by a language model from the project’s public pages.

OCR
Multilingual support
Image upload
Text highlighting
Confidence scores

Built with & integrations

Hosting

AWS

AI providers

local_oss

Runs on

BrowserSelf-hostedCloud-managed

Detected from

AWS: x-amz-cf-id header · x-amz-cf-pop header · via header
local_oss: huggingface in the HTML

Trust & compliance

Verified signals

HTTPSFree tier

Indexing history

What PulseGate has recorded for this listing

Indexed10 Jul · 23:26 UTC
awacke1/Image-to-Multilingual-OCR verified against its public source
Source: PulseGate · Open

Frequently asked questions about MultilingualOCR

What does MultilingualOCR do?: MultilingualOCR focuses on extracting and highlighting text from images in various languages for data processing and analysis. It is catalogued under AI on PulseGate.
Who should use MultilingualOCR?: MultilingualOCR is a B2B product built for researchers and multilingual users.
Does MultilingualOCR have a free plan?: Yes — MultilingualOCR is free to use.
What platforms does MultilingualOCR run on?: MultilingualOCR runs on the web. It can also be self-hosted.
Is MultilingualOCR still active?: Unverified. MultilingualOCR has not been re-checked since it entered the index, so there is no finding either way — and only a positive finding would say otherwise.
What are alternatives to MultilingualOCR?: Similar projects tracked by PulseGate include EasyOCR, Multimodal OCR, and Tesseract OCR.EasyOCR Multimodal OCR Tesseract OCR
Who develops MultilingualOCR?: MultilingualOCR is developed by awacke1.
When did MultilingualOCR launch?: MultilingualOCR first shipped in 2023.

At a glance

Platforms: Web
Languages: English
Built for: researchers and multilingual users
Model: B2B
Solves: Extracting and highlighting text from images in various languages for data processing and analysis.

Registered as

Hugging Face Spaces: awacke1/Image-to-Multilingual-OCR

Developer

awacke1

Index record

Identity confidence: High · 93.6
Indexed: 10 Jul 2026
Lifecycle: Alive
Last seen: 10 Jul 2026

Identity audit (12)

Slug: awacke1-image-to-multilingual-ocr-huggingface-co
Lifecycle last checked: 8 Aug 2026
Verification state: Indexed for public listing
Listing state: Listed: yes
Index status: Included in index
Latest evidence snapshot: 10 Jul 2026
Timeline basis: Indexed-at chronology. This listing's first-seen date was written by the catalog backfill, not observed here, so it is not treated as a sighting.
Name from: Written by a language model from the project's public pages.
Category from: Assigned by a language model.
Summary from: Written by a language model from public pages.
Languages from: Detected by a language model from page content.
Canonical URL: https://huggingface.co/spaces/awacke1/Image-to-Multilingual-OCR

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