Who should use GOT Online?

GOT Online is a consumer product built for students.

Yes — GOT Online is free to use.

What platforms does GOT Online run on?

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

Is GOT Online still maintained?

Unverified. GOT Online 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 projects are similar to GOT Online?

Similar projects tracked by PulseGate include GOT OCR Transformers, Tonic's GOT OCR, and GOT OCR 2.0 Hf.

Who develops GOT Online?

GOT Online is developed by stepfun-ai.

How long has GOT Online been around?

GOT Online first shipped in 2023.

Back to the index

GOT Online

Name: GOT Online
Author: stepfun-ai

huggingface.coComputer vision, OCR & document AI

GOT Online is a web app for extracting text, tables, and equations from images using advanced OCR. It supports multi-crop for complex images and outputs structured data, making it valuable for students, researchers, and professionals needing accurate image-to-text conversion.

FreeWebSelf-hostedCloud-managed

Visit huggingface.co

Overview

5 features

GOT Online sits in PulseGate's Computer vision, OCR & document AI category. It focuses on extracting structured text, tables, and equations from images without manual transcription. It is built as a consumer product for students. GOT Online costs nothing to use. It runs on the web, and it can be self-hosted.

It is developed by stepfun-ai, and it first shipped in 2023. Among its 5 catalogued features are image upload, OCR extraction, and table recognition.

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

Image upload
OCR extraction
Table recognition
Equation parsing
Multi-crop support

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 · 18:42 UTC
stepfun-ai/GOT_official_online_demo verified against its public source
Source: PulseGate · Open

Frequently asked questions about GOT Online

What does GOT Online do?: GOT Online focuses on extracting structured text, tables, and equations from images without manual transcription. It is catalogued under Computer vision, OCR & document AI on PulseGate.
Who should use GOT Online?: GOT Online is a consumer product built for students.
Is GOT Online free?: Yes — GOT Online is free to use.
What platforms does GOT Online run on?: GOT Online runs on the web. It can also be self-hosted.
Is GOT Online still maintained?: Unverified. GOT Online 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 projects are similar to GOT Online?: Similar projects tracked by PulseGate include GOT OCR Transformers, Tonic's GOT OCR, and GOT OCR 2.0 Hf.GOT OCR Transformers Tonic's GOT OCR GOT OCR 2.0 Hf
Who develops GOT Online?: GOT Online is developed by stepfun-ai.
How long has GOT Online been around?: GOT Online first shipped in 2023.

At a glance

Platforms: Web
Languages: English
Built for: students
Model: B2C
Solves: Extracting structured text, tables, and equations from images without manual transcription.

Registered as

Hugging Face Spaces: stepfun-ai/GOT_official_online_demo

Developer

stepfun-ai

Index record

Indexed: 10 Jul 2026
Lifecycle: Alive
Last seen: 10 Jul 2026

Identity audit (12)

Slug: stepfun-ai-got-official-online-demo-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: Derived from the project's own page and URL.
Category from: Recorded source: taxonomy-pass-a.
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/stepfun-ai/GOT_official_online_demo

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