GLM-OCR

GLM-OCR

Z.ai
Whisper

Whisper

OpenAI
+
+

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About

GLM-OCR is a multimodal optical character recognition model and open source repository that provides accurate, efficient, and comprehensive document understanding by combining text and visual modalities into a unified encoder–decoder architecture derived from the GLM-V family. Built with a visual encoder pre-trained on large-scale image–text data and a lightweight cross-modal connector feeding into a GLM-0.5B language decoder, the model supports layout detection, parallel region recognition, and structured output for text, tables, formulas, and complicated real-world document formats. It introduces Multi-Token Prediction (MTP) loss and stable full-task reinforcement learning to improve training efficiency, recognition accuracy, and generalization, achieving state-of-the-art benchmarks on major document understanding tasks.

About

We’ve trained and are open-sourcing a neural net called Whisper that approaches human-level robustness and accuracy in English speech recognition. Whisper is an automatic speech recognition (ASR) system trained on 680,000 hours of multilingual and multitask supervised data collected from the web. We show that the use of such a large and diverse dataset leads to improved robustness to accents, background noise, and technical language. Moreover, it enables transcription in multiple languages, as well as translation from those languages into English. We are open-sourcing models and inference code to serve as a foundation for building useful applications and for further research on robust speech processing. The Whisper architecture is a simple end-to-end approach, implemented as an encoder-decoder Transformer. Input audio is split into 30-second chunks, converted into a log-Mel spectrogram, and then passed into an encoder.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Developers, researchers, and engineers wanting a tool to accurately parse and understand complex documents, layouts, and visual-text content at scale

Audience

Anyone looking for a tool to recognize speech automatically and improve text transcription

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Z.ai
Founded: 2019
China
github.com/zai-org/GLM-OCR

Company Information

OpenAI
United States
openai.com/blog/whisper/

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HunyuanOCR

Tencent
Mu

Mu

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Transcribe

Transcribe

Wreally
Mistral OCR 3

Mistral OCR 3

Mistral AI

Categories

Categories

Integrations

AnotherWrapper
Baseten
Krater.ai
Kuku
MacWhisper
Pruna AI
ReByte
SheepScript.ai
Shownotes
Simplismart
Snippets AI
Spark NLP
Thinkbuddy
Tila
TurboScribe
Unremot
VESSL AI
Vocode
Waveloom

Integrations

AnotherWrapper
Baseten
Krater.ai
Kuku
MacWhisper
Pruna AI
ReByte
SheepScript.ai
Shownotes
Simplismart
Snippets AI
Spark NLP
Thinkbuddy
Tila
TurboScribe
Unremot
VESSL AI
Vocode
Waveloom
Claim GLM-OCR and update features and information
Claim GLM-OCR and update features and information
Claim Whisper and update features and information
Claim Whisper and update features and information