olmOCR

MultimodalTilgĂŚngelig
af CommunityModell-ID: olmocr

Allen AI olmOCR. Open-source 7B vision-language model fine-tuned for high-fidelity document parsing including math, code and tables.

Pris
≈ 0,0205 US$/kørsel
Input → output
Tekst + Billede → Tekst
Udvikler
Community
Opdateret
23. september 2026
01

Playground

Prøv olmOCR

Ingen inputmaske

≈ 0,0205 US$/kørsel

Ingen inputmaske til denne model endnu

Dens inputs er endnu ikke dokumenteret. For at ingen kørsel mislykkes pü grund af forkert input tilbyder vi ikke en formular her. VÌlg i stedet en sammenlignelig model.

02

Examples

Real outputs from the public examples of this model on Replicate, with the prompt and settings that produced them. They were not generated live on this page.
  • Response

    ['{"primary_language":"en","is_rotation_valid":true,"rotation_correction":0,"is_table":false,"is_diagram":false,"natural_text":"Christians behaving themselves like Mahomedans. \\n\\n4. The natives soon had reason to suspect the viceroy\'s sincerity in his expressions of regret at the proceedings of which they complained. For about this time the Dominican friars, under pretence of building a convent, erected a fortress on the island of Solor, which, as soon as finished, the viceroy garrisoned with a strong force. The natives very naturally felt indignant at this additional encroachment, and took every opportunity to attack the garrison. The monks, forgetful of their peaceable profession, took an active part in these skirmishes, and many of them fell sword in hand.\\n\\nThe Mahomedan faith has been appropriately entitled, *The religion of the sword*; and with equal propriety may we so designate the religion of these belligerent friars. The Portuguese writers give an account of one of their missionaries, Fernando Vinagre, who was as prompt in the field of battle as at the baptismal font. This man, though a secular priest, undertook the command of a squadron that was sent to the assistance of the rajah of Tidore, on which occasion he is said to have acted in the twofold capacity of a great commander, and a great apostle, at one time appearing in armour, at another in a surplice; and even occasionally, baptizing the converts of his sword without putting off his armour, but cover…

  • Response

    ['{"primary_language":"en","is_rotation_valid":true,"rotation_correction":0,"is_table":false,"is_diagram":false,"natural_text":"Chapter 2\\n\\nMathematical Induction:\\n“And so on . . .”\\n\\n2.1 Introduction\\n\\nThis chapter marks our first big step toward investigating mathematical proofs more thoroughly and learning to construct our own. It is also an introduction to the first significant proof technique we will see. As we describe below, this chapter is meant to be an appetizer, a first taste, of what mathematical induction is and how to use it. A couple of chapters from now, we will be able to rigorously define induction and prove that this technique is mathematically valid. That’s right, we’ll actually prove how and why it works! For now, though, we’ll continue our investigation of some interesting mathematical puzzles, with these particular problems hand-picked by us for their use of inductive techniques.\\n\\n2.1.1 Objectives\\n\\nThe following short sections in this introduction will show you how this chapter fits into the scheme of the book. They will describe how our previous work will be helpful, they will motivate why we would care to investigate the topics that appear in this chapter, and they will tell you our goals and what you should keep in mind while reading along to achieve those goals. Right now, we will summarize the main objectives of this chapter for you via a series of statements. These describe the skills and knowledge you should have gained by the…

  • Response

    ['{"primary_language":"en","is_rotation_valid":true,"rotation_correction":0,"is_table":false,"is_diagram":false,"natural_text":"Edgar (or Eadgar;[1] c. 944 – 8 July 975) was King of the English from 959 until his death in 975. He became king of all England on his brother\'s death. He was the younger son of King Edmund I and his first wife Ælfgifu. A detailed account of Edgar\'s reign is not possible, because only a few events were recorded by chroniclers and monastic writers were more interested in recording the activities of the leaders of the church.\\n\\nEdgar mainly followed the political policies of his predecessors, but there were major changes in the religious sphere. The English Benedictine Reform, which he strongly supported, became a dominant religious and social force.[2] It is seen by historians as a major achievement, and it was accompanied by a literary and artistic flowering, mainly associated with Æthelwold, Bishop of Winchester. Monasteries aggressively acquired estates from lay landowners with Edgar\'s assistance, leading to disorder when he died and former owners sought to recover their lost property, sometimes by force. Edgar\'s major administrative reform was the introduction of a standardised coinage in the early 970s to replace the previous decentralised system. He also issued legislative codes which mainly concentrated on improving procedures for enforcement of the law.\\n\\nEngland had suffered from Viking invasions for over a century when Edgar came…

03

Om olmOCR

Kort sagtFra 23. september 2026

olmOCR er en model af Community i kategorien Multimodal. På Railwail koster olmOCR ≈ 0,0205 US$ pr. kørsel.

04

Priser

Priser i US-dollar. Forbrug debiteres fra forudbetalte credits.
Typisk kørsel (≈ 17 s på L40S)0,0205 US$ pr. kørsel
GPU-tid (L40S)0,00117 US$ pr. GPU-sekund
  • Faktureres efter den GPU-tid, som kørslen faktisk tager. NĂĽr kørslen starter, reserveres 3× den typiske pris fra din saldo og afregnes efterfølgende.
  • 1 kredit = 0,01 US$

Omkostningsberegner

Prisberegner

s

Typisk ifølge udbyderen: ca. 17,4 s

I alt

2,05 US$

205 credits

Pr. kørsel

0,0205 US$ ¡ 2,05 credits

Fakturering efter faktisk GPU-tid; dette er et estimat.

05

API

Kald olmOCR med din Railwail API-nøgle. Brug dette model-ID i anmodningen:

Intet bekrĂŚftet API-eksempel

Den offentlige API sender et andet inputformat end det, som denne model har brug for. Brug playground ovenfor.

06

Specifikationer

Model-ID
olmocr
Udvikler
Community
Kategori
Multimodal
Input
Tekst, Billede
Output
Tekst
Fakturering
Efter forbrug (tokens eller GPU-tid)
Katalogelement opdateret
23. september 2026

Tags

  • replicate
  • ocr
  • vision-understanding
  • allenai
  • open-weights
07

Ofte stillede spørgsmül

Hvad er olmOCR?

olmOCR er en model fra Community i kategorien Multimodal.

Hvad koster olmOCR pĂĽ Railwail?

På Railwail koster olmOCR ≈ 0,0205 US$ pr. kørsel. Du betaler for det, som hver anmodning faktisk bruger. Forbrug betales fra forudbetalte credits; 1 credit svarer til 0,01 US$.

Hvor hurtig er olmOCR?

Der er endnu ikke nok mülte kørsler af olmOCR pü Railwail til at angive en udførelsestid. Det afhÌnger af inputtet, indstillingerne og belastningen hos provideren.

Er olmOCR bedre end BLIP?

Det afhĂŚnger af opgaven. olmOCR (Community) og BLIP (Salesforce) er begge modeller i kategorien Multimodal. Sammenligningssiden viser deres priser og specifikationer side om side.

Sammenlign olmOCR og BLIP

Kan olmOCR behandle billeder?

Ja. olmOCR accepterer billeder som input ud over tekst.

08

Sammenlignelige modeller

Alle i denne kategori
  • BLIPSalesforce

    Salesforce BLIP. Vision-language model for image captioning and visual question answering. Given an image it writes a short natural-language caption, or answers a question about the image when one is supplied. A widely used baseline for automatic captioning.

    ≈ 0,00030 US$/kørsel

    99 % billigere pr. enhed

    Sammenlign olmOCR og BLIP
  • pharmapsychotic's CLIP Interrogator. Takes an image and produces a Stable-Diffusion-style text prompt by combining BLIP captioning with CLIP to rank likely subjects, artists, mediums and styles. Commonly used to reverse-engineer a prompt from an existing picture.

    ≈ 0,0457 US$/kørsel

    123 % dyrere pr. enhed

    Sammenlign olmOCR og CLIP Interrogator
  • Monocular depth-estimation model trained on 595k labeled and 62M unlabeled images. Strong zero-shot generalization in indoor and outdoor scenes.

    ≈ 0,0050 US$/kørsel

    76 % billigere pr. enhed

    Sammenlign olmOCR og Depth Anything v2

Alle modeller via ĂŠn API

En API-nøgle til alle modeller pü Railwail. Forbrug debiteres fra forudbetalte credits, 1 credit = 0,01 US$.