Model reference · open weights
meiki.txt.recognition is an open-weight language model from rtr46, listed in the AxForge catalogue. AxForge can bring it up on EU-owned hardware for you on request — with the licence handled where one is required.
About
Official GitHub Repository: meikiocr This model is a core component of the meikiocr pipeline. For the full implementation, command-line script, and documentation, please see the official GitHub repository. meiki.text.recognition.v0 pareto-optimal text recognition model. trained on japanese video games. meiki.text.recognition achieves state-of-the-art text recognition accuracy as well as latency by redefining "text recognition" as "character detection". the model is a fine-tune of https://github.com/Peterande/D-FINE object detecor combined with a mobilenetv4 CNN backbone. to my knowledge there is no existing, open weight text recognition model with a better accuracy/latency tradeoff for japanese text recognition. intended use and constraints - it is specifically trained on japanese video games, therefore performance may vary outside of this use case - input needs to be resized and padded to be 960x32px - outputs detection results as characters + bbox + confidence. check the inference.py script for a suggested post processing algorithms - can detect up to 48 characters - only works on horizontal text benchmarks how to use please refer to this demo inference script: https://huggingface.co/rtr46/meiki.txt.recognition.v0/blob/main/inference.py examples releases - 21.02.2026: i released a new version of the checkpoint that should improve accuracy. if you want to use the old one for some reason use this revision: ddd06176a4da56fba082293dbe9898d4e5998af2
Summarised from the published model card. Read the full card on the HuggingFace links below.
Specifications
| Maker | rtr46 |
|---|---|
| Type | Language models |
| Variants | 1 |
| Runs with | tensorrt |
| Released | 2025-11-03 |
| Popularity | 101k downloads / month |
| Likes | 7 |
| Licence | Open, with conditions |
How it works
Variants
Open weights ship in several sizes and precisions. One page, all the variants — pick the one that fits your GPU. VRAM figures are estimates from model size.
| Variant | Params | Precision | VRAM | Fits 16 GB | Weights |
|---|---|---|---|---|---|
| meiki.txt.recognition.v0 | — | BF16 | — | — | Weights ↗ |
Using it via the API
Once AxForge deploys meiki-txt-recognition for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (meiki-txt-recognition below is illustrative; you get the exact model name on deployment.)
$ curl -sS https://api.axforge.ai/v1/chat/completions \
-H "Authorization: Bearer $AXFORGE_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"meiki-txt-recognition","messages":[{"role":"user","content":"Hello"}]}'
Details
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Licence
Open weights under lgpl-3.0, which carries conditions (e.g. attribution or an acceptable-use clause). Worth a read before production use — we can walk you through it. Read the licence ↗