Wer nutzt diese Software?
Unternehmen, die Daten aus PDF-Dokumenten extrahieren möchten, um Betriebsabläufe zu optimieren und auf manuelle Dateneingaben zu verzichten.
Durchschnittliche Bewertung59 Bewertungen
- Gesamt 5 / 5
- Benutzerfreundlichkeit 4.5 / 5
- Kundenservice 4.5 / 5
- Funktionen 4.5 / 5
- Preis-Leistungs-Verhältnis 4.5 / 5
- Startpreis 29,00 $/Monat
- Kostenlose Version Nein
- Kostenlose Testversion Ja
Cloud, SaaS, Web
Support während der Geschäftszeiten
Angaben zum Hersteller
- Gegründet 2016
Docparser ist eine Lösung zur Erfassung von Dokumenten, die für den modernen Cloudstack entwickelt wurde. PDFs oder gescannte Dokumente werden aus verschiedenen Quellen automatisch abgerufen, spezifische Datenfelder oder Tabellen können extrahiert und die geparsten Daten in Echtzeit an den jeweiligen Speicherort verschoben werden. Docparser ist anwenderfreundlich. Die Migration deiner Dokumentendaten in Hunderte von Cloudanwendungen ist dank verschiedener Cloudintegrationen und der API ein Kinderspiel. Natürlich können Daten auch im Excel-, CSV-, JSON- oder XML-Format heruntergeladen werden.
- Disparate Datenerfassung
- E-Mail-Adressen extrahieren
- IP Adressen-Extraktion
Die hilfreichsten Reviews für Docparser
Bewertet am 2.2.2018
So much time saved!! I'm fairly new to Docparser, but can say that it has saved me so much time.
Kommentare: Time and money saved by automating the input of sales lead information into our CRM with Salesforce. It's awesome.
The ease of setting up a new document is fantastic. The biggest issue I've had in the past with other services is that it is rarely consistent with the accuracy when parsing the information. I use it to pull information from sales leads that come in by email with a PDF attachment that contains the lead information. My process in the past was to have to manually type the info into a spreadsheet or into my Salesforce account directly; which is very time consuming for my clerical staff.
I've automated this process by having the email automatically forwarded to my Zapier account, then they Zap it to Docparser. Docparser then works their magic and sends it back to Zapier that takes the accurate information and uploads it to my Salesforce and starts the lead followup campaign and notifies me that there is a new lead to contact.
I tried other services in the past, but if there was any variation in the information on the PDF (even one extra space) the information was not accurately parsed. I've set Docparser up and have run 100s of leads through it with 100% accuracy and no need to tweak anything. It is worth every penny and has saved me an absurd amount of time and money spent on paying my staff to manually input the information; not to mention, it allows me to get back to the potential client in a matter of a couple minutes from the initial inquiry time.
Thank you Docparser! PS - The Customer Support department rocks too. They were very helpful!
Bewertet am 14.2.2018
I use the software to scan pdf invoices & orders for a retail gift store and create inventory lists.
Kommentare: time savings. I'm trying to bring a store that was operated for 25 years without an inventory system into a modern age.
Vorteile: I like being able to have multiple document templates as each vendor tends to have their own "take" on what is useful to include in an invoice or order and formatting can vary a great deal. Therefore, my templates are not based on vendor name - they are based on the data found in the invoices. Example file names: "line-qty-units-isbn13-desc-discount-level-ext-dollar" or "line-qty-desc-unit-ext-float" Vendors aren't always consistent from invoice to invoice. They may be using software that resizes table columns to fit the text, which means you have to adjust your table format slightly each time to ensure the parsing is correct. That's easy to do. The forums and Q&A resources are usually helpful and I've found them responsive to email.
Nachteile: 1. The UI for making changes to the template. I hate the popup box routine at the end of making a change. It takes a lot of mouse clicks. 2. I've never gotten the subtemplates to work. (see note above about vendor formats being inconsistent.) Subtemplates "supposedly" take care of minor variations and can be grouped according to a vendor name. Maybe this works for other customers, as it is a great idea. 3. There are a lot of little tweaks to be made that aren't obvious to improve character recognition. Why not start with the highest level of quality (ie. turn on OCR) at the start? If that makes file size a problem for storage or performance when processing a lot of files at once, walk people through how to "downgrade" to an acceptable level or establish a recommended number of files not to exceed some size limit. For example, during a trial scan there were no extra spaces or funky characters in the document but then I figured out about half of the "6s" had been transformed to "8s" - not terribly helpful. I want to be able to trust the result rather than having to proof hundreds of line items. 4. Given the inconsistencies I have with the input data sources, I don't think I'll be able to automate the parsing tasks - such as grabbing attachments from email automatically. Again, I have a small business, so I'm OK with the workaround.