olmOCR

MultimodalMevcut
Community tarafındanModel Kimliği: olmocr

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

Fiyat
≈ $0,0205/çalıştırma
Giriş → Çıkış
Metin + Görüntü → Metin
Geliştirici
Community
Güncellendi
23 Eylül 2026
01

Playground

olmOCR'ı deneyin

Giriş formu yok

≈ $0,0205/çalıştırma

Bu model için henüz giriş formu yok

Girdileri henüz belgelenmemiştir. Yanlış girdide hiçbir çalıştırmanın başarısız olmaması için burada form sunmuyoruz. Bunun yerine karşılaştırılabilir bir model seçin.

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

olmOCR Hakkında

Özet23 Eylül 2026 itibariyle

olmOCR, Community tarafından Multimodal kategorisinde geliştirilen bir modeldir. Railwail üzerinde olmOCR maliyeti ≈ $0,0205 çalıştırma başına.

04

Fiyatlandırma

Fiyatlar ABD doları cinsinden. Kullanım, ön ödemeli kredilerden tahsil edilir.
Tipik çalıştırma (≈ 17 s, L40S üzerinde)$0,0205 çalıştırma başına
GPU Süresi (L40S)$0,00117 GPU saniyesi başına
  • Çalıştırmanın gerçekten aldığı GPU süresi için faturalandırılır. Çalıştırma başladığında, bakiyenizden tipik fiyatın 3 katı ayrılır ve daha sonra kapatılır.
  • 1 kredi = $0,01

Maliyet Hesaplayıcı

Fiyat hesaplayıcı

s

Sağlayıcıya göre tipik: yaklaşık 17,4 s

Toplam

$2,05

205 kredi

Çalışma başına

$0,0205 · 2,05 kredi

Gerçek GPU süresi faturalandırılır; bu bir tahmindir.

05

API

olmOCR öğesini Railwail API anahtarınızla çağırın. İstekte bu model kimliğini kullanın:

Doğrulanmış API örneği yok

Genel API, bu modelin ihtiyaç duyduğundan farklı bir giriş biçimi iletir. Yukarıdaki oyun alanını kullanın.

06

Özellikler

Model Kimliği
olmocr
Geliştirici
Community
Kategori
Multimodal
Giriş
Metin, Görüntü
Çıkış
Metin
Faturalandırma
Kullanıma göre (token veya GPU süresi)
Katalog girişi güncellendi
23 Eylül 2026

Etiketler

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

Sık Sorulan Sorular

olmOCR nedir?

olmOCR, Community tarafından Multimodal kategorisinde oluşturulan bir modeldir.

olmOCR Railwail'de ne kadar maliyetlidir?

Railwail üzerinde olmOCR maliyeti ≈ $0,0205 çalıştırma başına. Her istek gerçekten ne kadar kullanırsa o kadar ücretlendirilirsiniz. Kullanım ön ödemeli kredilerden ödenir; 1 kredi $0,01 değerindedir.

olmOCR ne kadar hızlıdır?

Railwail'de olmOCR için henüz çalıştırma süresi belirtmek için yeterli ölçülen çalıştırma yoktur. Bu, giriş, ayarlar ve sağlayıcıdaki yüke bağlıdır.

olmOCR, BLIP'dan daha iyi midir?

Bu göreve bağlıdır. olmOCR (Community) ve BLIP (Salesforce) her ikisi de Multimodal kategorisinde modellerdir. Karşılaştırma sayfası fiyatlarını ve özelliklerini yan yana gösterir.

olmOCR ve BLIP'ı karşılaştır

olmOCR görüntüleri işleyebilir mi?

Evet. olmOCR metne ek olarak giriş olarak görüntüleri kabul eder.

08

Karşılaştırılabilir modeller

Bu kategorideki tümü
  • 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/çalıştırma

    Birim başına 99 % daha ucuz

    olmOCR ve BLIP karşılaştır
  • 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/çalıştırma

    Birim başına 123 % daha pahalı

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

    ≈ $0,0050/çalıştırma

    Birim başına 76 % daha ucuz

    olmOCR ve Depth Anything v2 karşılaştır

Tüm Modeller Tek Bir API Aracılığıyla

Railwail'deki her model için bir API anahtarı. Kullanım, ön ödemeli kredilerden tahsil edilir, 1 kredi = $0,01.